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Tag: Mathematics Case Studies & Problem Sets

  • [Solved] ACR

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    [>Geometry homework help](https://www.sweetstudy.com/fields/mathematics-geometry) – [\ \ GroupAssignment-ACR-Groupassignment-SPRING2024-25.doc](https://www.sweetstudy.com/files/groupassignment-acr-groupassignment-spring2024-25-doc "GroupAssignment-ACR-Groupassignment-SPRING2024-25.doc") – a year a…

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    [>Geometry homework help](https://www.sweetstudy.com/fields/mathematics-geometry)

    – [\
    \
    GroupAssignment-ACR-Groupassignment-SPRING2024-25.doc](https://www.sweetstudy.com/files/groupassignment-acr-groupassignment-spring2024-25-doc "GroupAssignment-ACR-Groupassignment-SPRING2024-25.doc")

    – a year ago

  • [Solved] Mathematics – Statistics homework

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    [>Statistics homework help](https://www.sweetstudy.com/fields/mathematics-statistics) statistic study – a year ago

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    [>Statistics homework help](https://www.sweetstudy.com/fields/mathematics-statistics)

    statistic study

    – a year ago

  • [Solved] Prof Double R

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    [>Statistics homework help](https://www.sweetstudy.com/fields/mathematics-statistics) – a year ago

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    [>Statistics homework help](https://www.sweetstudy.com/fields/mathematics-statistics)

    – a year ago

  • [Solved] Prof Double R

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    [>Statistics homework help](https://www.sweetstudy.com/fields/mathematics-statistics) ## Scenario Smart businesses in all industries use data to provide an intuitive analysis of how they can get a competitive advantage. The real estate industry heavily uses linear regression to estimate home prices,…

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    [>Statistics homework help](https://www.sweetstudy.com/fields/mathematics-statistics)

    ## Scenario

    Smart businesses in all industries use data to provide an intuitive analysis of how they can get a competitive advantage. The real estate industry heavily uses linear regression to estimate home prices, as cost of housing is currently the largest expense for most families. Additionally, in order to help new homeowners and home sellers with important decisions, real estate professionals need to go beyond showing property inventory. They need to be well versed in the relationship between price, square footage, build year, location, and so many other factors that can help predict the business environment and provide the best advice to their clients.

    ## Prompt

    You have been recently hired as a junior analyst by D.M. Pan Real Estate Company. The sales team has tasked you with preparing a report that examines the relationship between the selling price of properties and their size in square feet. You have been provided with a [Real Estate Data Spreadsheet](https://learn.snhu.edu/content/enforced/1923642-MAT-240-17909.202551-1/course_documents/MAT%20240%20Real%20Estate%20Data.xlsx?ou=1923642) spreadsheet that includes properties sold nationwide in recent years. The team has asked you to select a region, complete an initial analysis, and provide the report to the team.

    **Note**: In the report you prepare for the sales team, the response variable (y) should be the listing price and the predictor variable (x) should be the square feet.

    Specifically you must address the following rubric criteria, using the [Module Two Assignment Template](https://learn.snhu.edu/content/enforced/1923642-MAT-240-17909.202551-1/course_documents/MAT%20240%20Module%20Two%20Assignment%20Template.docx?isCourseFile=true&ou=1923642):

    – **Generate a Representative Sample of the Data**
    – Select a region and generate a simple random sample of 30 from the data.
    – Report the mean, median, and standard deviation of the listing price and the square foot variables.
    – **Analyze Your Sample**
    – Discuss how the regional sample created is or is not reflective of the national market.
    – Compare and contrast your sample with the population using the [National Summary Statistics and Graphs Real Estate Data PDF](https://learn.snhu.edu/content/enforced/1923642-MAT-240-17909.202551-1/course_documents/National%20Summary%20Statistics%20and%20Graphs%20Real%20Estate%20Data.pdf?ou=1923642) document.
    – Explain how you have made sure that the sample is random.
    – Explain your methods to get a truly random sample.
    – **Generate Scatterplot**
    – Create a scatterplot of the _x_ and _y_ variables noted above. Include a trend line and the regression equation. Label the axes.
    – **Observe patterns**
    – Answer the following questions based on the scatterplot:
    – Define _x_ and _y_. Which variable is useful for making predictions?
    – Is there an association between _x_ and _y_? Describe the association you see in the scatter plot.
    – What do you see as the shape (linear or nonlinear)?
    – If you had a 1,800 square foot house, based on the regression equation in the graph, what price would you choose to list at?
    – Do you see any potential outliers in the scatterplot?
    – Why do you think the outliers appeared in the scatterplot you generated?
    – What do they represent?

    You can use the following tutorial that is specifically about this assignment. Make sure to check the assignment prompt for specific numbers used for national statistics and/or square footage. The video may use different national statistics or solve for different square footage values.

    – [MAT-240 Module 2 Assignment](https://www.youtube.com/watch?v=PCL4YbDeGvg)

    You can also use the following tutorials for support as you develop the report:

    – [Load the Analysis ToolPak in Excel](https://support.microsoft.com/en-us/office/load-the-analysis-toolpak-in-excel-6a63e598-cd6d-42e3-9317-6b40ba1a66b4)
    – [Downloading Office 365 Programs PDF](https://learn.snhu.edu/content/enforced/1923642-MAT-240-17909.202551-1/course_documents/MAT%20240%20Downloading%20Excel%20Tutorial.pdf?ou=1923642)
    – [Random Sampling in Excel PDF](https://learn.snhu.edu/content/enforced/1923642-MAT-240-17909.202551-1/course_documents/MAT%20240%20Random%20Sampling%20in%20Excel%20Tutorial.pdf?isCourseFile=true&ou=1923642)
    – [Scatterplots in Excel PDF](https://learn.snhu.edu/content/enforced/1923642-MAT-240-17909.202551-1/course_documents/MAT%20240%20Scatterplots%20in%20Excel.pdf?isCourseFile=true&ou=1923642)
    – [Descriptive Statistics in Excel PDF](https://learn.snhu.edu/content/enforced/1923642-MAT-240-17909.202551-1/course_documents/MAT%20240%20Descriptive%20Statistics%20in%20Excel.pdf?isCourseFile=true&ou=1923642)

    ## What to Submit

    Submit your completed Module Two Assignment Template as a Word document that includes your response, supporting charts, and Excel file.

    – [\
    \
    MAT240ModuleTwoAssignmentTemplate.docx](https://www.sweetstudy.com/files/mat240moduletwoassignmenttemplate-docx-10289031 "MAT240ModuleTwoAssignmentTemplate.docx")
    – [\
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    NationalSummaryStatisticsandGraphsRealEstateData.pdf](https://www.sweetstudy.com/files/nationalsummarystatisticsandgraphsrealestatedata-pdf-10289033 "NationalSummaryStatisticsandGraphsRealEstateData.pdf")
    – [\
    \
    MAT240RealEstateData.xlsx](https://www.sweetstudy.com/files/mat240realestatedata-xlsx-10294447 "MAT240RealEstateData.xlsx")

    – a year ago

  • [Solved] Identify a real-world situation that can be modeled using a linear equation,

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    [>Algebra homework help](https://www.sweetstudy.com/fields/mathematics-algebra) Create math flyer – [\ \ IMG_0759.jpeg](https://www.sweetstudy.com/files/img-0759-jpeg-10288953 "IMG_0759.jpeg") – a year ago

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    [>Algebra homework help](https://www.sweetstudy.com/fields/mathematics-algebra)

    Create math flyer

    – [\
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    IMG_0759.jpeg](https://www.sweetstudy.com/files/img-0759-jpeg-10288953 "IMG_0759.jpeg")

    – a year ago

  • [Solved] Identify A Real-World Situation That Can Be Modeled Using A Linear Equation,

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    [>Algebra homework help](https://www.sweetstudy.com/fields/mathematics-algebra) Create flyer – [\ \ IMG_0759.jpeg](https://www.sweetstudy.com/files/img-0759-jpeg-10290209 "IMG_0759.jpeg") – a year ago

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    Assignment Prompt & Instructions

    [>Algebra homework help](https://www.sweetstudy.com/fields/mathematics-algebra)

    Create flyer

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    IMG_0759.jpeg](https://www.sweetstudy.com/files/img-0759-jpeg-10290209 "IMG_0759.jpeg")

    – a year ago

  • [Solved] MA 2025 mod 4 db

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    1. Find a data set related to your degree or career field. ### [**Click Here are a few examples based on different majors**](https://indianatech.instructure.com/courses/22511/discussion_topics/74885?embed=true&headless=1&student_id=18410#dpPanel0) 2. Find the **mean (average)** and **standard dev…

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    1. Find a data set related to your degree or career field.

    ### [**Click Here are a few examples based on different majors**](https://indianatech.instructure.com/courses/22511/discussion_topics/74885?embed=true&headless=1&student_id=18410#dpPanel0)

    2. Find the **mean (average)** and **standard deviation** of the data. Use credible sources like government databases, company reports, or industry publications.

    3. Using the Empirical Rule, calculate the following:

    – **1st Standard Deviation (68% of Data):**

    – Range: Mean ± 1 Standard Deviation
    – **2nd Standard Deviation (95% of Data):**

    – Range: Mean ± 2 Standard Deviations
    – **3rd Standard Deviation (99.7% of Data):**

    – Range: Mean ± 3 Standard Deviations

    ### [**Click here to view an example**](https://indianatech.instructure.com/courses/22511/discussion_topics/74885?embed=true&headless=1&student_id=18410#dpPanel1)

    4. Post Your Results. Include

    – The data set you chose and its relevance to your major.
    – The source where you found the data.
    – The mean and standard deviation.
    – Your Empirical Rule calculations (ranges for 1st, 2nd, and 3rd standard deviations).
    – A brief reflection on why understanding this distribution might be useful in your career.

    – a year ago

  • [Solved] Math

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    [>Trigonometry homework help](https://www.sweetstudy.com/fields/mathematics-trigonometry) math homework – a year ago

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    [>Trigonometry homework help](https://www.sweetstudy.com/fields/mathematics-trigonometry)

    math homework

    – a year ago

  • [Solved] MA 2025 MOD 5 DB

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    **Part 1:Discussion Question** In this discussion, we’ll be focusing on **point estimates** found in everyday sources and assessing their accuracy. For this activity, you’ll find a real-world example of a point estimate (a single-number statistic or measurement) from an article, report, or even a pr…

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    Assignment Prompt & Instructions

    **Part 1:Discussion Question**

    In this discussion, we’ll be focusing on **point estimates** found in everyday sources and assessing their accuracy. For this activity, you’ll find a real-world example of a point estimate (a single-number statistic or measurement)  from an article, report, or even a product label. You’ll consider whether you believe this point estimate accurately reflects reality or if it would be more meaningful if stated as a confidence interval.

    **Steps to Complete the Discussion:**

    1. **Find a Point Estimate**:

        Look for a point estimate in a reputable source like an article, report, government website, or product label. Examples include the number of calories in a meal, the average price of a commodity, the percentage of people who approve of a policy, or the typical wait time at a clinic.

    – Cite the Source: Include a brief citation or link to your source so others can refer to it.
    – Describe the Estimate: Explain what the point estimate represents and why it’s relevant. For example, a restaurant might claim that a particular meal contains 500 calories, or an article might report the average rent in a city as $1,200 per month.

    **2.  Assess Accuracy**:

    – Consider whether you think the point estimate is an accurate representation of the true value. Is it realistic to expect this exact value every time, or is there likely some variability? For example, would the restaurant meal always contain exactly 500 calories, or might this number vary slightly based on ingredients and portion sizes?

    1. **Confidence Interval vs. Point Estimate**:

    – Based on your assessment, explain whether you believe this information would be better represented as a confidence interval (a range of values).
    – If so, discuss what factors might contribute to the interval width. Would you recommend a wider or narrower interval to balance precision and confidence?
    – If not, explain why you think the point estimate is sufficient or appropriate as stated.

    – a year ago

  • [Solved] MA 2025 MOD 5 ASSN

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    **Overview:** For this assignment, you will utilize statistical technology to work with a series of datasets. You are welcome to use the technology of your choice including Excel, Desmos, and Google Sheets. Please follow the instructions below. Once you have completed the assignment, submit your com…

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    **Overview:**

    For this assignment, you will utilize statistical technology to work with a series of datasets. You are welcome to use the technology of your choice including Excel, Desmos, and Google Sheets.  Please follow the instructions below. Once you have completed the assignment, submit your completed document (in .docx or .doc format) using the Submission Link.

    **Instructions:**

    1. Download the file attached to this assignment. This file contains three questions.
    2. Copy and paste the graphs and charts for your answers into the document.
    3. Type your responses to the other questions.
    4. All of your charts, graphs, and responses to questions should be submitted in a single document.

    – [\
    \
    MA2025MOD5ASSNINFO.docx](https://www.sweetstudy.com/files/ma2025mod5assninfo-docx "MA2025MOD5ASSNINFO.docx")

    – a year ago