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Tag: Valuation & Market Analysis

  • [Solved] Business Finance – Operations Management Assignment 1 outline

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    [>Operations Management homework help](https://www.sweetstudy.com/fields/business-finance-operations-management) be descriptive enough that explains each element – a year ago **files (1)** – ## Outline.docx **## Outline.docx** Instructions: This week (week 1) you will choose your topic and submit yo…

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    Assignment Prompt & Instructions

    [>Operations Management homework help](https://www.sweetstudy.com/fields/business-finance-operations-management)

    be descriptive enough that explains each element

    – a year ago

    **files (1)**

    – ## Outline.docx

    **## Outline.docx**

    Instructions: This week (week 1) you will choose your topic and submit your proposed Problem Statement for your research paper as well as an outline.

    The Outline will consist of 4-5 pages. The Title Page and Reference Page are not included in the page count. The paper/outline describes your final research project. Each major section within your final project should be covered in this paper. The Project Outline must be in narrative form, and be descriptive enough that explains each element of your project. The use of graphics and charts is highly encouraged.

    The Final Research Project will be 20-25 pages and due in week 8. The project must include a title page, table of contents, abstract, and a reference page. The project will demonstrate the knowledge acquired through course work completed to date. The project is an application of this knowledge and requires the student to analyze and interpret the topic of interest. The use of graphics and charts is highly encouraged.

    This report must be original work. This report cannot include papers submitted in previous courses.

    Organization should be as follows:

    APA cover page

    Abstract (1/2- 1 page)

    2. Introduction to the topic, problem or thesis statement

    3. Literature Review Background Research on the topic

    4. Discussion of your ideas on the topic and problem

    5. Discussion of new solution(s) to the problem

    6. Conclusion

    Looking Ahead

    The final paper must have the following key sections, clearly identified, though they can be titled creatively to reflect your question and interests:

    I. An introduction that states the problem and why your topic is important.

    The research question, clearly and concisely stated
    as a question. What do you hope to answer with this research? This section should also include definition of terms.

    II. Literature Review – background research on this topic

    III. The results/ discussions, describes what you have learned that helps answer the research question. What are you ideas about this topic?

    IV. The discussion of potential new solutions.

    V. The conclusion, which summarizes the key points of the paper and suggests further research needed on this topic.

    VI. A list of references in APA format.

    Topics for the course project include but are not limited to:

    1) The convergence of transportation congestion and transportation security at a U.S. seaport.

    2) A review of past Transportation legislation while developing a new proposal to address past weaknesses and omissions.

    3) The transitioning of the Defense Transportation System toward complementing best practices in supply chain management efficiently and securely.

    4) A review of the U.S. economy and its impact on transportation and logistics management.

    5) Identify new challenges within transportation and logistics management and develop viable solutions to these challenges.

    6) Identify an emerging concept such as reverse logistics, green logistics, etc. and analyze its impact on the future of transportation and logistics management.

    **## Outline.docx**

    Instructions: This week (week 1) you will choose your topic and submit your proposed Problem Statement for your research paper as well as an outline.

    The Outline will consist of 4-5 pages. The Title Page and Reference Page are not included in the page count. The paper/outline describes your final research project. Each major section within your final project should be covered in this paper. The Project Outline must be in narrative form, and be descriptive enough that explains each element of your project. The use of graphics and charts is highly encouraged.

    The Final Research Project will be 20-25 pages and due in week 8. The project must include a title page, table of contents, abstract, and a reference page. The project will demonstrate the knowledge acquired through course work completed to date. The project is an application of this knowledge and requires the student to analyze and interpret the topic of interest. The use of graphics and charts is highly encouraged.

    This report must be original work. This report cannot include papers submitted in previous courses.

    Organization should be as follows:

    APA cover page

    Abstract (1/2- 1 page)

    2. Introduction to the topic, problem or thesis statement

    3. Literature Review Background Research on the topic

    4. Discussion of your ideas on the topic and problem

    5. Discussion of new solution(s) to the problem

    6. Conclusion

    Looking Ahead

    The final paper must have the following key sections, clearly identified, though they can be titled creatively to reflect your question and interests:

    I. An introduction that states the problem and why your topic is important.

    The research question, clearly and concisely stated
    as a question. What do you hope to answer with this research? This section should also include definition of terms.

    II. Literature Review – background research on this topic

    III. The results/ discussions, describes what you have learned that helps answer the research question. What are you ideas about this topic?

    IV. The discussion of potential new solutions.

    V. The conclusion, which summarizes the key points of the paper and suggests further research needed on this topic.

    VI. A list of references in APA format.

    Topics for the course project include but are not limited to:

    1) The convergence of transportation congestion and transportation security at a U.S. seaport.

    2) A review of past Transportation legislation while developing a new proposal to address past weaknesses and omissions.

    3) The transitioning of the Defense Transportation System toward complementing best practices in supply chain management efficiently and securely.

    4) A review of the U.S. economy and its impact on transportation and logistics management.

    5) Identify new challenges within transportation and logistics management and develop viable solutions to these challenges.

    6) Identify an emerging concept such as reverse logistics, green logistics, etc. and analyze its impact on the future of transportation and logistics management.

  • [Solved] Business Finance – Management a-DEVELOPING A RESEARCH FRAMEWORK ASSIGNMENT INSTRUCTIONS

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    [>Management homework help](https://www.sweetstudy.com/fields/business-finance-management) **Instructions** For this assignment, the student will draw upon earlier learning to conduct further independent research to find a scholarly peer reviewed journal article (published within the last 5 years th…

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    Assignment Prompt & Instructions

    [>Management homework help](https://www.sweetstudy.com/fields/business-finance-management)

    **Instructions**

    For this assignment, the student will draw upon earlier learning to conduct further independent research to find a scholarly peer reviewed journal article (published within the last 5 years that identifies an organization and management or business-related topic of your choosing * I chose the importance of Social Media marketing) that is related to your cognate. This will serve as the foundation of your paper.

    – a year ago

  • [Solved] economics enter

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    [>Economics homework help](https://www.sweetstudy.com/fields/business-finance-economics) – a year ago **files (1)** – ## Economicsandenterprisefi.pdf **## Economicsandenterprisefi.pdf** [https://v3.camscanner.com/user/download](https://v3.camscanner.com/user/download) [https://v3.camscanner.com/user…

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    Assignment Prompt & Instructions

    [>Economics homework help](https://www.sweetstudy.com/fields/business-finance-economics)

    – a year ago

    **files (1)**

    – ## Economicsandenterprisefi.pdf

    **## Economicsandenterprisefi.pdf**

    [https://v3.camscanner.com/user/download](https://v3.camscanner.com/user/download)

    [https://v3.camscanner.com/user/download](https://v3.camscanner.com/user/download)

    **## Economicsandenterprisefi.pdf**

    [https://v3.camscanner.com/user/download](https://v3.camscanner.com/user/download)

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  • [Solved] Data analytics – Case study 3

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    Executive Solution Overview

    Needed by 4am CST 5/5/ 25 (central standard time) you will need to download free Jasp program – a year ago **files (2)** – ## Week7WrittenCaseNumber3.docx – TexasSTAARFilterANOVAWeek7Data-3case3.csv **## Week7WrittenCaseNumber3.docx** BUS 5253-W2 Spring 2025 Case 3 **Description:** The State of Texa…

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    Assignment Prompt & Instructions

    Needed by 4am CST 5/5/ 25 (central standard time)  you will need to download free Jasp program

    – a year ago

    **files (2)**

    – ## Week7WrittenCaseNumber3.docx

    – TexasSTAARFilterANOVAWeek7Data-3case3.csv

    **## Week7WrittenCaseNumber3.docx**

    BUS 5253-W2 Spring 2025 Case 3

    **Description:**

    The State of Texas Assessments of Academic Readiness, commonly referred to as its acronym STAAR, is a series of standardized tests used in Texas public primary and secondary schools to assess a student's achievements and knowledge learned in the grade level. Starting in third grade, Texas students are required to take the State of Texas Assessment of Academic Readiness test, or STAAR, every year. This dataset contains test scores and demographic information for randomly selected third grade students from the Texoma region

    This data set contains only data from randomly selected third-grade students in from the Texoma region in the 2023-2024 academic year. The data were collected for the purpose of identifying significant predictors in both the home environment and the scholastic setting that may influence educational outcomes. Of particular interest in this study is the evaluation of a new Prep Course designed to prepare children to be able to navigate and succeed on standardized tests. This course was introduced to select schools on a trial basis to determine the efficacy of the program. Also of interest is the family socioeconomic status, indicated by the highest education level of either parent (or guardian) and the indication whether the child qualifies for free or discounted lunch. Test scores are percentile ranks relative to the statewide performance of third grade students in the three facets of the STAAR test: math, reading, and writing. The following measures were included in the data:

    **Variables:**

    ·
    **StudentID** – Participant's identification number which looks strangely similar to the original row number of the dataset.

    ·
    **Gender –** The biological sex of the child, i.e. Female/Male.

    ·
    **Testing Location –** Represents the Independent School District in which the Prep Course and Testing were given Anna, TX and McKinney, TX

    ·
    **Parental Level of Education –** the highest education level completed by either parent (or guardian), categorized by: High School, Associates Degree, or Bachelors Degree.

    ·
    **Lunch –** Binary measure indicating whether or not the child is eligible for free or discounted lunch, indicated by free/reduced for qualifying students and standard for students paying the standard fees.

    ·
    **Test Prep Course–** Binary measure to indicate the completion of the newly introduced Prep Course before STAAR testing began in Spring 2024. This measure is indicated as Complete for those whose schools were included in the initiative in time to complete the program or None if the student’s school was not included.

    **Research Question:**

    In this case we will be designing a study to determine if math test scores are significantly improved depending on whether or not the child completed the Test Prep Course, and if the effect differs based on economic status. Upon loading, examining, and cleaning your data, choose the correct analytical technique to test the following hypotheses:

    0

    where TespPrep is the population of kids who have completed the Prep Course, Reduced is the population of kids who are eligible for a Free or Reduced Price Lunch, and TestPrep*Reduced is the interaction between the two.

    **(You may use or quickly recreate the same Frequency and Descriptive Sections from Case 1 to satisfy Accuracy and Outliers if you easily remember what you did to clean the data.)**

    **Accuracy:**

    1. Check the data for out of range scores.

    a. Include a summary showing you do/do not have out of range scores.

    b. If necessary, fix the out of range scores.

    i. Indicate what the problems were in the dataset.

    ii. Make all out of range values NA.

    iii. Include a summary showing that you fixed the accuracy issues.

    2. Fix the factored columns to have nice labels (i.e. Proper Case, Fully Spelled out). Only factor the IV, do not factor the DV.

    a. Use the data editor in JASP to change the Test Location so that the label for Group A shows Anna, TX and the label for Group B shows McKinney, TX.

    b. Use the data editor in JASP to change the Parent Education variable so that the value for High School, Associate, and Bachelor reads 1, 2, and 3. This will ensure they line up correctly in your graphs.

    **Missing data:**

    3. Exclude all missing data using listwise deletion. Use the filter function to eliminate any cases with missing data.

    **Outliers:**

    4. Use the boxplot feature to show that you have no outliers.

    a. Include a summary of those z-scores.

    b. Do you have any outliers?

    c. Exclude those outliers.

    **Normality:**

    5. Perform the proper test to show that the assumption of normality is met.

    **Linearity:**

    6. Include the multivariate QQ plot.

    **Homogeneity:**

    7. Include the multivariate residuals plot.

    8. Interpret the graph. Does it indicate homogeneity?

    **Power:**

    9. Calculate the number of participants you would need for this study, assuming a medium effect size.

    a. Include a screen shot or summary of the numbers you typed into G*Power, so we can give you partial credit if you get a different sample size than us.

    **ANOVA and Levene’s:**

    10. Include the ANOVA and Levene’s test output.

    11. Do you meet the homogeneity assumption given the results from Levene’s test?

    12. Was the overall test significant?

    a. Include the APA/AMA style write up for F (just the statistics):

    **Post Hocs:**

    13. Calculate the means, standard deviations, and group sizes for your levels.

    14. Post hocs:

    a. What type of post hoc
    _test_ did you run?

    b. What type of post hoc
    _correction_ did you run?

    c. Include the t-test output.

    15. Effect size:

    a. Calculate the effect size for your pairwise comparisons.

    b. Include the effect size output or MOTE screen shot.

    16. Fill in the table below with the information from the above calculations (like the one from the notes):

    | | | | | |
    | — | — | — | — | — |
    | Mean 1 | Mean 2 | P-value | Explain? | Effect size |
    | | | | | |
    | | | | | |
    | | | | | |

    **Graph:**

    17. Include a graph of the means and confidence interval for your ANOVA. Be sure to check the following:

    a. X-axis label

    b. Y-axis label

    c. X-axis group labels

    d. Error bars

    e. Cleaned up graph (no gray backgrounds)

    **Write up:**

    18. Write up an analysis of what you find in this data, including all the information you answered above. Use the example in the notes for a guide. This write up should include the following for credit:

    19. Result section style (APA and AMA):

    a. Double space

    b. Times New Roman 12 point

    c. Two decimals

    d. Centered, bolded Results

    20. Short description of the study/variables.

    21. Data screening summary:

    a. Accuracy – did you have problems? What did you do to fix it?

    b. Missing data – did you have problems? What did you do to fix it?

    c. Outliers – did you have problems? What did you do to fix it?

    d. Assumptions:

    i. Normality

    ii. Linearity

    iii. Homogeneity and Levene’s

    22. ANOVA

    a. Overall F statistic

    b. Post hoc tests / corrections and results

    c. Effect size for all tests

    23. Graph with reference to the figure in the text.

    **TexasSTAARFilterANOVAWeek7Data-3case3.csv**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/texasstaarfilteranovaweek7data-3case3-csv)

    **TexasSTAARFilterANOVAWeek7Data-3case3.csv**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/texasstaarfilteranovaweek7data-3case3-csv)

    **## Week7WrittenCaseNumber3.docx**

    BUS 5253-W2 Spring 2025 Case 3

    **Description:**

    The State of Texas Assessments of Academic Readiness, commonly referred to as its acronym STAAR, is a series of standardized tests used in Texas public primary and secondary schools to assess a student's achievements and knowledge learned in the grade level. Starting in third grade, Texas students are required to take the State of Texas Assessment of Academic Readiness test, or STAAR, every year. This dataset contains test scores and demographic information for randomly selected third grade students from the Texoma region

    This data set contains only data from randomly selected third-grade students in from the Texoma region in the 2023-2024 academic year. The data were collected for the purpose of identifying significant predictors in both the home environment and the scholastic setting that may influence educational outcomes. Of particular interest in this study is the evaluation of a new Prep Course designed to prepare children to be able to navigate and succeed on standardized tests. This course was introduced to select schools on a trial basis to determine the efficacy of the program. Also of interest is the family socioeconomic status, indicated by the highest education level of either parent (or guardian) and the indication whether the child qualifies for free or discounted lunch. Test scores are percentile ranks relative to the statewide performance of third grade students in the three facets of the STAAR test: math, reading, and writing. The following measures were included in the data:

    **Variables:**

    ·
    **StudentID** – Participant's identification number which looks strangely similar to the original row number of the dataset.

    ·
    **Gender –** The biological sex of the child, i.e. Female/Male.

    ·
    **Testing Location –** Represents the Independent School District in which the Prep Course and Testing were given Anna, TX and McKinney, TX

    ·
    **Parental Level of Education –** the highest education level completed by either parent (or guardian), categorized by: High School, Associates Degree, or Bachelors Degree.

    ·
    **Lunch –** Binary measure indicating whether or not the child is eligible for free or discounted lunch, indicated by free/reduced for qualifying students and standard for students paying the standard fees.

    ·
    **Test Prep Course–** Binary measure to indicate the completion of the newly introduced Prep Course before STAAR testing began in Spring 2024. This measure is indicated as Complete for those whose schools were included in the initiative in time to complete the program or None if the student’s school was not included.

    **Research Question:**

    In this case we will be designing a study to determine if math test scores are significantly improved depending on whether or not the child completed the Test Prep Course, and if the effect differs based on economic status. Upon loading, examining, and cleaning your data, choose the correct analytical technique to test the following hypotheses:

    0

    where TespPrep is the population of kids who have completed the Prep Course, Reduced is the population of kids who are eligible for a Free or Reduced Price Lunch, and TestPrep*Reduced is the interaction between the two.

    **(You may use or quickly recreate the same Frequency and Descriptive Sections from Case 1 to satisfy Accuracy and Outliers if you easily remember what you did to clean the data.)**

    **Accuracy:**

    1. Check the data for out of range scores.

    a. Include a summary showing you do/do not have out of range scores.

    b. If necessary, fix the out of range scores.

    i. Indicate what the problems were in the dataset.

    ii. Make all out of range values NA.

    iii. Include a summary showing that you fixed the accuracy issues.

    2. Fix the factored columns to have nice labels (i.e. Proper Case, Fully Spelled out). Only factor the IV, do not factor the DV.

    a. Use the data editor in JASP to change the Test Location so that the label for Group A shows Anna, TX and the label for Group B shows McKinney, TX.

    b. Use the data editor in JASP to change the Parent Education variable so that the value for High School, Associate, and Bachelor reads 1, 2, and 3. This will ensure they line up correctly in your graphs.

    **Missing data:**

    3. Exclude all missing data using listwise deletion. Use the filter function to eliminate any cases with missing data.

    **Outliers:**

    4. Use the boxplot feature to show that you have no outliers.

    a. Include a summary of those z-scores.

    b. Do you have any outliers?

    c. Exclude those outliers.

    **Normality:**

    5. Perform the proper test to show that the assumption of normality is met.

    **Linearity:**

    6. Include the multivariate QQ plot.

    **Homogeneity:**

    7. Include the multivariate residuals plot.

    8. Interpret the graph. Does it indicate homogeneity?

    **Power:**

    9. Calculate the number of participants you would need for this study, assuming a medium effect size.

    a. Include a screen shot or summary of the numbers you typed into G*Power, so we can give you partial credit if you get a different sample size than us.

    **ANOVA and Levene’s:**

    10. Include the ANOVA and Levene’s test output.

    11. Do you meet the homogeneity assumption given the results from Levene’s test?

    12. Was the overall test significant?

    a. Include the APA/AMA style write up for F (just the statistics):

    **Post Hocs:**

    13. Calculate the means, standard deviations, and group sizes for your levels.

    14. Post hocs:

    a. What type of post hoc
    _test_ did you run?

    b. What type of post hoc
    _correction_ did you run?

    c. Include the t-test output.

    15. Effect size:

    a. Calculate the effect size for your pairwise comparisons.

    b. Include the effect size output or MOTE screen shot.

    16. Fill in the table below with the information from the above calculations (like the one from the notes):

    | | | | | |
    | — | — | — | — | — |
    | Mean 1 | Mean 2 | P-value | Explain? | Effect size |
    | | | | | |
    | | | | | |
    | | | | | |

    **Graph:**

    17. Include a graph of the means and confidence interval for your ANOVA. Be sure to check the following:

    a. X-axis label

    b. Y-axis label

    c. X-axis group labels

    d. Error bars

    e. Cleaned up graph (no gray backgrounds)

    **Write up:**

    18. Write up an analysis of what you find in this data, including all the information you answered above. Use the example in the notes for a guide. This write up should include the following for credit:

    19. Result section style (APA and AMA):

    a. Double space

    b. Times New Roman 12 point

    c. Two decimals

    d. Centered, bolded Results

    20. Short description of the study/variables.

    21. Data screening summary:

    a. Accuracy – did you have problems? What did you do to fix it?

    b. Missing data – did you have problems? What did you do to fix it?

    c. Outliers – did you have problems? What did you do to fix it?

    d. Assumptions:

    i. Normality

    ii. Linearity

    iii. Homogeneity and Levene’s

    22. ANOVA

    a. Overall F statistic

    b. Post hoc tests / corrections and results

    c. Effect size for all tests

    23. Graph with reference to the figure in the text.

    **TexasSTAARFilterANOVAWeek7Data-3case3.csv**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/texasstaarfilteranovaweek7data-3case3-csv)

    **## Week7WrittenCaseNumber3.docx**

    BUS 5253-W2 Spring 2025 Case 3

    **Description:**

    The State of Texas Assessments of Academic Readiness, commonly referred to as its acronym STAAR, is a series of standardized tests used in Texas public primary and secondary schools to assess a student's achievements and knowledge learned in the grade level. Starting in third grade, Texas students are required to take the State of Texas Assessment of Academic Readiness test, or STAAR, every year. This dataset contains test scores and demographic information for randomly selected third grade students from the Texoma region

    This data set contains only data from randomly selected third-grade students in from the Texoma region in the 2023-2024 academic year. The data were collected for the purpose of identifying significant predictors in both the home environment and the scholastic setting that may influence educational outcomes. Of particular interest in this study is the evaluation of a new Prep Course designed to prepare children to be able to navigate and succeed on standardized tests. This course was introduced to select schools on a trial basis to determine the efficacy of the program. Also of interest is the family socioeconomic status, indicated by the highest education level of either parent (or guardian) and the indication whether the child qualifies for free or discounted lunch. Test scores are percentile ranks relative to the statewide performance of third grade students in the three facets of the STAAR test: math, reading, and writing. The following measures were included in the data:

    **Variables:**

    ·
    **StudentID** – Participant's identification number which looks strangely similar to the original row number of the dataset.

    ·
    **Gender –** The biological sex of the child, i.e. Female/Male.

    ·
    **Testing Location –** Represents the Independent School District in which the Prep Course and Testing were given Anna, TX and McKinney, TX

    ·
    **Parental Level of Education –** the highest education level completed by either parent (or guardian), categorized by: High School, Associates Degree, or Bachelors Degree.

    ·
    **Lunch –** Binary measure indicating whether or not the child is eligible for free or discounted lunch, indicated by free/reduced for qualifying students and standard for students paying the standard fees.

    ·
    **Test Prep Course–** Binary measure to indicate the completion of the newly introduced Prep Course before STAAR testing began in Spring 2024. This measure is indicated as Complete for those whose schools were included in the initiative in time to complete the program or None if the student’s school was not included.

    **Research Question:**

    In this case we will be designing a study to determine if math test scores are significantly improved depending on whether or not the child completed the Test Prep Course, and if the effect differs based on economic status. Upon loading, examining, and cleaning your data, choose the correct analytical technique to test the following hypotheses:

    0

    where TespPrep is the population of kids who have completed the Prep Course, Reduced is the population of kids who are eligible for a Free or Reduced Price Lunch, and TestPrep*Reduced is the interaction between the two.

    **(You may use or quickly recreate the same Frequency and Descriptive Sections from Case 1 to satisfy Accuracy and Outliers if you easily remember what you did to clean the data.)**

    **Accuracy:**

    1. Check the data for out of range scores.

    a. Include a summary showing you do/do not have out of range scores.

    b. If necessary, fix the out of range scores.

    i. Indicate what the problems were in the dataset.

    ii. Make all out of range values NA.

    iii. Include a summary showing that you fixed the accuracy issues.

    2. Fix the factored columns to have nice labels (i.e. Proper Case, Fully Spelled out). Only factor the IV, do not factor the DV.

    a. Use the data editor in JASP to change the Test Location so that the label for Group A shows Anna, TX and the label for Group B shows McKinney, TX.

    b. Use the data editor in JASP to change the Parent Education variable so that the value for High School, Associate, and Bachelor reads 1, 2, and 3. This will ensure they line up correctly in your graphs.

    **Missing data:**

    3. Exclude all missing data using listwise deletion. Use the filter function to eliminate any cases with missing data.

    **Outliers:**

    4. Use the boxplot feature to show that you have no outliers.

    a. Include a summary of those z-scores.

    b. Do you have any outliers?

    c. Exclude those outliers.

    **Normality:**

    5. Perform the proper test to show that the assumption of normality is met.

    **Linearity:**

    6. Include the multivariate QQ plot.

    **Homogeneity:**

    7. Include the multivariate residuals plot.

    8. Interpret the graph. Does it indicate homogeneity?

    **Power:**

    9. Calculate the number of participants you would need for this study, assuming a medium effect size.

    a. Include a screen shot or summary of the numbers you typed into G*Power, so we can give you partial credit if you get a different sample size than us.

    **ANOVA and Levene’s:**

    10. Include the ANOVA and Levene’s test output.

    11. Do you meet the homogeneity assumption given the results from Levene’s test?

    12. Was the overall test significant?

    a. Include the APA/AMA style write up for F (just the statistics):

    **Post Hocs:**

    13. Calculate the means, standard deviations, and group sizes for your levels.

    14. Post hocs:

    a. What type of post hoc
    _test_ did you run?

    b. What type of post hoc
    _correction_ did you run?

    c. Include the t-test output.

    15. Effect size:

    a. Calculate the effect size for your pairwise comparisons.

    b. Include the effect size output or MOTE screen shot.

    16. Fill in the table below with the information from the above calculations (like the one from the notes):

    | | | | | |
    | — | — | — | — | — |
    | Mean 1 | Mean 2 | P-value | Explain? | Effect size |
    | | | | | |
    | | | | | |
    | | | | | |

    **Graph:**

    17. Include a graph of the means and confidence interval for your ANOVA. Be sure to check the following:

    a. X-axis label

    b. Y-axis label

    c. X-axis group labels

    d. Error bars

    e. Cleaned up graph (no gray backgrounds)

    **Write up:**

    18. Write up an analysis of what you find in this data, including all the information you answered above. Use the example in the notes for a guide. This write up should include the following for credit:

    19. Result section style (APA and AMA):

    a. Double space

    b. Times New Roman 12 point

    c. Two decimals

    d. Centered, bolded Results

    20. Short description of the study/variables.

    21. Data screening summary:

    a. Accuracy – did you have problems? What did you do to fix it?

    b. Missing data – did you have problems? What did you do to fix it?

    c. Outliers – did you have problems? What did you do to fix it?

    d. Assumptions:

    i. Normality

    ii. Linearity

    iii. Homogeneity and Levene’s

    22. ANOVA

    a. Overall F statistic

    b. Post hoc tests / corrections and results

    c. Effect size for all tests

    23. Graph with reference to the figure in the text.

    **TexasSTAARFilterANOVAWeek7Data-3case3.csv**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/texasstaarfilteranovaweek7data-3case3-csv)

  • [Solved] Data analytics – Case study 2

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    [>Accounting homework help](https://www.sweetstudy.com/fields/business-finance-accounting) Needed by 3 am (Central Standard Time=) 5/5 need to download free program JASP to complete case study – [\ \ TexasSTAARFilterANOVAWeek7Data-2casestudy2.csv](https://www.sweetstudy.com/files/texasstaarfiltera…

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    [>Accounting homework help](https://www.sweetstudy.com/fields/business-finance-accounting)

    Needed by 3 am  (Central Standard Time=) 5/5    need to download free program JASP to complete case study

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  • [Solved] creativity thinking

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  • [Solved] CLC – Case Study Component 4

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    This is a Collaborative Learning Community (CLC) assignment. The purpose of this assignment is to analyze a company's future financial health. This assignment is the fourth component in your group's comprehensive financial analysis project. The steps referenced here follow the nine-step assessment p…

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    This is a Collaborative Learning Community (CLC) assignment.

    The purpose of this assignment is to analyze a company's future financial health.

    This assignment is the fourth component in your group's comprehensive financial analysis project. The steps referenced here follow the nine-step assessment process detailed in _Assessing a Company's Future Financial Health_.

    _**Component 4 – Part 1**_

    **Step 7:** Viability of the 3-5-Year Plan

    – a year ago

  • [Solved] week 1 overview

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    [>Operations Management homework help](https://www.sweetstudy.com/fields/business-finance-operations-management) play and how these factors impact the TLM field – a year ago **files (2)** – ## Week1overview.docx – ## ExampleofPart1.docx **## Week1overview.docx** **Part I:** Prepare a one-page descri…

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    [>Operations Management homework help](https://www.sweetstudy.com/fields/business-finance-operations-management)

    play and how these factors impact the TLM field

    – a year ago

    **files (2)**

    – ## Week1overview.docx

    – ## ExampleofPart1.docx

    **## Week1overview.docx**

    **Part I:**

    Prepare a one-page description of your Research Project interest. Post the description here in Week 1 discussion (review syllabus for potential topics of interest).

    **Part II:**

    Complete this assignment by discussing the theory and politics of transportation and logistics management. You will have to conduct online research to determine what theories exist in the field. Likewise, you need to determine what political factors are at play and how these factors impact the TLM field.  Discuss in detail and provide sources to support your thoughts, insights, ideas, and statements

    **## ExampleofPart1.docx**

    **Part I: Research Project Interest**

    For my capstone research project in Transportation and Logistics Management, I am focusing on “Reverse Logistics and Its Impact on the Future of Supply Chain Management.” This topic is increasingly relevant as organizations seek sustainable and cost-effective methods to manage product returns, recycling, and waste reduction. Reverse logistics encompasses the processes involved in moving goods from their final destination back to the manufacturer or appropriate disposal sites for the purpose of capturing value or proper disposal.

    My interest in this area stems from my experience in military logistics, where efficient handling of returned equipment and materials is crucial. Understanding reverse logistics can lead to improved resource utilization and environmental sustainability. Through this research, I aim to explore best practices, technological advancements, and strategic frameworks that can enhance reverse logistics operations, thereby contributing to more resilient and sustainable supply chains.

    **Part II: Theories and Political Factors in Transportation and Logistics Management**

    **Theoretical Frameworks in Transportation and Logistics Management**

    Transportation and Logistics Management (TLM) integrates various theories from disciplines such as economics, strategic management, and organizational behavior. Key theoretical frameworks include:

    ·
    **Systems Theory**: This theory views the supply chain as an interconnected system where each component affects the whole. It emphasizes the importance of coordination and integration across all logistics functions to achieve overall efficiency.

    ·
    **Lean and Six Sigma**: These methodologies focus on waste reduction and process improvement. Lean aims to eliminate non-value-added activities, while Six Sigma seeks to reduce variability and defects in processes.

    ·
    **Just-In-Time (JIT)**: JIT emphasizes inventory reduction and timely delivery of materials, aiming to increase efficiency and reduce waste by receiving goods only as they are needed in the production process.

    ·
    **The 21st-Century Logistics Framework**: Developed by Closs and Mollenkopf, this framework identifies six competencies essential for global supply chain operations: customer integration, internal integration, material/service supplier integration, technology and planning integration, measurement integration, and relationship integration.

    **Political Factors Affecting Transportation and Logistics Management**

    Political dynamics play a significant role in shaping the TLM landscape. Key political factors include:

    ·
    **Trade Policies and Tariffs**: Government-imposed tariffs and trade agreements can significantly impact supply chain operations. For instance, recent U.S. tariffs on Chinese goods have led to decreased import volumes and increased costs for businesses relying on international suppliers.

    ·
    **Regulatory Environment**: Regulations concerning transportation safety, environmental standards, and labor laws affect logistics operations. Changes in policies can lead to increased compliance costs and necessitate adjustments in logistics strategies.

    ·
    **Infrastructure Investment**: Government decisions on infrastructure development and maintenance influence the efficiency of transportation networks. Investment in ports, highways, and rail systems is crucial for smooth logistics operations.

    ·
    **Political Stability and Relations**: Political unrest or strained international relations can disrupt supply chains, leading to delays and increased risks. Companies must assess geopolitical risks when designing their logistics networks.

    Understanding these political factors is essential for logistics managers to develop resilient and adaptable supply chains that can withstand political fluctuations and policy changes.

    Best,

    Jacob D. Cooper

    References:

    Grynspan, R. (2022). Review of maritime transport 2022. UNCTAD. https://unctad.org/publication/review-maritime-transport-2022Rodrigue, J.-P. (2024).

    The Geography of Transport Systems (6th ed.). Routledge. https://doi.org/10.4324/9781003343196USDOT. (2015, October 13).

    National freight strategic plan. US Department of Transportation. https://www.transportation.gov/freight/NFSP

    **## ExampleofPart1.docx**

    **Part I: Research Project Interest**

    For my capstone research project in Transportation and Logistics Management, I am focusing on “Reverse Logistics and Its Impact on the Future of Supply Chain Management.” This topic is increasingly relevant as organizations seek sustainable and cost-effective methods to manage product returns, recycling, and waste reduction. Reverse logistics encompasses the processes involved in moving goods from their final destination back to the manufacturer or appropriate disposal sites for the purpose of capturing value or proper disposal.

    My interest in this area stems from my experience in military logistics, where efficient handling of returned equipment and materials is crucial. Understanding reverse logistics can lead to improved resource utilization and environmental sustainability. Through this research, I aim to explore best practices, technological advancements, and strategic frameworks that can enhance reverse logistics operations, thereby contributing to more resilient and sustainable supply chains.

    **Part II: Theories and Political Factors in Transportation and Logistics Management**

    **Theoretical Frameworks in Transportation and Logistics Management**

    Transportation and Logistics Management (TLM) integrates various theories from disciplines such as economics, strategic management, and organizational behavior. Key theoretical frameworks include:

    ·
    **Systems Theory**: This theory views the supply chain as an interconnected system where each component affects the whole. It emphasizes the importance of coordination and integration across all logistics functions to achieve overall efficiency.

    ·
    **Lean and Six Sigma**: These methodologies focus on waste reduction and process improvement. Lean aims to eliminate non-value-added activities, while Six Sigma seeks to reduce variability and defects in processes.

    ·
    **Just-In-Time (JIT)**: JIT emphasizes inventory reduction and timely delivery of materials, aiming to increase efficiency and reduce waste by receiving goods only as they are needed in the production process.

    ·
    **The 21st-Century Logistics Framework**: Developed by Closs and Mollenkopf, this framework identifies six competencies essential for global supply chain operations: customer integration, internal integration, material/service supplier integration, technology and planning integration, measurement integration, and relationship integration.

    **Political Factors Affecting Transportation and Logistics Management**

    Political dynamics play a significant role in shaping the TLM landscape. Key political factors include:

    ·
    **Trade Policies and Tariffs**: Government-imposed tariffs and trade agreements can significantly impact supply chain operations. For instance, recent U.S. tariffs on Chinese goods have led to decreased import volumes and increased costs for businesses relying on international suppliers.

    ·
    **Regulatory Environment**: Regulations concerning transportation safety, environmental standards, and labor laws affect logistics operations. Changes in policies can lead to increased compliance costs and necessitate adjustments in logistics strategies.

    ·
    **Infrastructure Investment**: Government decisions on infrastructure development and maintenance influence the efficiency of transportation networks. Investment in ports, highways, and rail systems is crucial for smooth logistics operations.

    ·
    **Political Stability and Relations**: Political unrest or strained international relations can disrupt supply chains, leading to delays and increased risks. Companies must assess geopolitical risks when designing their logistics networks.

    Understanding these political factors is essential for logistics managers to develop resilient and adaptable supply chains that can withstand political fluctuations and policy changes.

    Best,

    Jacob D. Cooper

    References:

    Grynspan, R. (2022). Review of maritime transport 2022. UNCTAD. https://unctad.org/publication/review-maritime-transport-2022Rodrigue, J.-P. (2024).

    The Geography of Transport Systems (6th ed.). Routledge. https://doi.org/10.4324/9781003343196USDOT. (2015, October 13).

    National freight strategic plan. US Department of Transportation. https://www.transportation.gov/freight/NFSP

    **## Week1overview.docx**

    **Part I:**

    Prepare a one-page description of your Research Project interest. Post the description here in Week 1 discussion (review syllabus for potential topics of interest).

    **Part II:**

    Complete this assignment by discussing the theory and politics of transportation and logistics management. You will have to conduct online research to determine what theories exist in the field. Likewise, you need to determine what political factors are at play and how these factors impact the TLM field.  Discuss in detail and provide sources to support your thoughts, insights, ideas, and statements

    **## ExampleofPart1.docx**

    **Part I: Research Project Interest**

    For my capstone research project in Transportation and Logistics Management, I am focusing on “Reverse Logistics and Its Impact on the Future of Supply Chain Management.” This topic is increasingly relevant as organizations seek sustainable and cost-effective methods to manage product returns, recycling, and waste reduction. Reverse logistics encompasses the processes involved in moving goods from their final destination back to the manufacturer or appropriate disposal sites for the purpose of capturing value or proper disposal.

    My interest in this area stems from my experience in military logistics, where efficient handling of returned equipment and materials is crucial. Understanding reverse logistics can lead to improved resource utilization and environmental sustainability. Through this research, I aim to explore best practices, technological advancements, and strategic frameworks that can enhance reverse logistics operations, thereby contributing to more resilient and sustainable supply chains.

    **Part II: Theories and Political Factors in Transportation and Logistics Management**

    **Theoretical Frameworks in Transportation and Logistics Management**

    Transportation and Logistics Management (TLM) integrates various theories from disciplines such as economics, strategic management, and organizational behavior. Key theoretical frameworks include:

    ·
    **Systems Theory**: This theory views the supply chain as an interconnected system where each component affects the whole. It emphasizes the importance of coordination and integration across all logistics functions to achieve overall efficiency.

    ·
    **Lean and Six Sigma**: These methodologies focus on waste reduction and process improvement. Lean aims to eliminate non-value-added activities, while Six Sigma seeks to reduce variability and defects in processes.

    ·
    **Just-In-Time (JIT)**: JIT emphasizes inventory reduction and timely delivery of materials, aiming to increase efficiency and reduce waste by receiving goods only as they are needed in the production process.

    ·
    **The 21st-Century Logistics Framework**: Developed by Closs and Mollenkopf, this framework identifies six competencies essential for global supply chain operations: customer integration, internal integration, material/service supplier integration, technology and planning integration, measurement integration, and relationship integration.

    **Political Factors Affecting Transportation and Logistics Management**

    Political dynamics play a significant role in shaping the TLM landscape. Key political factors include:

    ·
    **Trade Policies and Tariffs**: Government-imposed tariffs and trade agreements can significantly impact supply chain operations. For instance, recent U.S. tariffs on Chinese goods have led to decreased import volumes and increased costs for businesses relying on international suppliers.

    ·
    **Regulatory Environment**: Regulations concerning transportation safety, environmental standards, and labor laws affect logistics operations. Changes in policies can lead to increased compliance costs and necessitate adjustments in logistics strategies.

    ·
    **Infrastructure Investment**: Government decisions on infrastructure development and maintenance influence the efficiency of transportation networks. Investment in ports, highways, and rail systems is crucial for smooth logistics operations.

    ·
    **Political Stability and Relations**: Political unrest or strained international relations can disrupt supply chains, leading to delays and increased risks. Companies must assess geopolitical risks when designing their logistics networks.

    Understanding these political factors is essential for logistics managers to develop resilient and adaptable supply chains that can withstand political fluctuations and policy changes.

    Best,

    Jacob D. Cooper

    References:

    Grynspan, R. (2022). Review of maritime transport 2022. UNCTAD. https://unctad.org/publication/review-maritime-transport-2022Rodrigue, J.-P. (2024).

    The Geography of Transport Systems (6th ed.). Routledge. https://doi.org/10.4324/9781003343196USDOT. (2015, October 13).

    National freight strategic plan. US Department of Transportation. https://www.transportation.gov/freight/NFSP

    **## Week1overview.docx**

    **Part I:**

    Prepare a one-page description of your Research Project interest. Post the description here in Week 1 discussion (review syllabus for potential topics of interest).

    **Part II:**

    Complete this assignment by discussing the theory and politics of transportation and logistics management. You will have to conduct online research to determine what theories exist in the field. Likewise, you need to determine what political factors are at play and how these factors impact the TLM field.  Discuss in detail and provide sources to support your thoughts, insights, ideas, and statements

    **## ExampleofPart1.docx**

    **Part I: Research Project Interest**

    For my capstone research project in Transportation and Logistics Management, I am focusing on “Reverse Logistics and Its Impact on the Future of Supply Chain Management.” This topic is increasingly relevant as organizations seek sustainable and cost-effective methods to manage product returns, recycling, and waste reduction. Reverse logistics encompasses the processes involved in moving goods from their final destination back to the manufacturer or appropriate disposal sites for the purpose of capturing value or proper disposal.

    My interest in this area stems from my experience in military logistics, where efficient handling of returned equipment and materials is crucial. Understanding reverse logistics can lead to improved resource utilization and environmental sustainability. Through this research, I aim to explore best practices, technological advancements, and strategic frameworks that can enhance reverse logistics operations, thereby contributing to more resilient and sustainable supply chains.

    **Part II: Theories and Political Factors in Transportation and Logistics Management**

    **Theoretical Frameworks in Transportation and Logistics Management**

    Transportation and Logistics Management (TLM) integrates various theories from disciplines such as economics, strategic management, and organizational behavior. Key theoretical frameworks include:

    ·
    **Systems Theory**: This theory views the supply chain as an interconnected system where each component affects the whole. It emphasizes the importance of coordination and integration across all logistics functions to achieve overall efficiency.

    ·
    **Lean and Six Sigma**: These methodologies focus on waste reduction and process improvement. Lean aims to eliminate non-value-added activities, while Six Sigma seeks to reduce variability and defects in processes.

    ·
    **Just-In-Time (JIT)**: JIT emphasizes inventory reduction and timely delivery of materials, aiming to increase efficiency and reduce waste by receiving goods only as they are needed in the production process.

    ·
    **The 21st-Century Logistics Framework**: Developed by Closs and Mollenkopf, this framework identifies six competencies essential for global supply chain operations: customer integration, internal integration, material/service supplier integration, technology and planning integration, measurement integration, and relationship integration.

    **Political Factors Affecting Transportation and Logistics Management**

    Political dynamics play a significant role in shaping the TLM landscape. Key political factors include:

    ·
    **Trade Policies and Tariffs**: Government-imposed tariffs and trade agreements can significantly impact supply chain operations. For instance, recent U.S. tariffs on Chinese goods have led to decreased import volumes and increased costs for businesses relying on international suppliers.

    ·
    **Regulatory Environment**: Regulations concerning transportation safety, environmental standards, and labor laws affect logistics operations. Changes in policies can lead to increased compliance costs and necessitate adjustments in logistics strategies.

    ·
    **Infrastructure Investment**: Government decisions on infrastructure development and maintenance influence the efficiency of transportation networks. Investment in ports, highways, and rail systems is crucial for smooth logistics operations.

    ·
    **Political Stability and Relations**: Political unrest or strained international relations can disrupt supply chains, leading to delays and increased risks. Companies must assess geopolitical risks when designing their logistics networks.

    Understanding these political factors is essential for logistics managers to develop resilient and adaptable supply chains that can withstand political fluctuations and policy changes.

    Best,

    Jacob D. Cooper

    References:

    Grynspan, R. (2022). Review of maritime transport 2022. UNCTAD. https://unctad.org/publication/review-maritime-transport-2022Rodrigue, J.-P. (2024).

    The Geography of Transport Systems (6th ed.). Routledge. https://doi.org/10.4324/9781003343196USDOT. (2015, October 13).

    National freight strategic plan. US Department of Transportation. https://www.transportation.gov/freight/NFSP

  • [Solved] respo manag fi

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  • [Solved] Practicing Synthesis

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    [>Management homework help](https://www.sweetstudy.com/fields/business-finance-management) 2 paragraphs includes references The key strategy for synthesizing articles for writing (i.e., writing about them as a group versus just summarizing them individually) is analyzing them thematically (identifyi…

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    [>Management homework help](https://www.sweetstudy.com/fields/business-finance-management)

    2 paragraphs includes references

    The key strategy for synthesizing articles for writing (i.e., writing about them as a group versus just summarizing them individually) is analyzing them thematically (identifying similarities/contradictions in their findings). You're going to practice that in this discussion by thematically analyzing each other's discussion posts.

    – Write 3–5 reasons that you decided to pursue a doctoral degree.
    – Then, analyze a colleague's post about their reasons for pursuing a doctoral degree. Are there common themes in their reasons? Contradictions?

    ## **Response Guidelines**

    Read the posts of your peers and respond to at least one other learner. Please make sure your response is substantive.

    – a year ago