[Solved] Mathematics – Statistics MAT 240 Module Five Assignment Guidelines and Rubric

Assignment Prompt & Instructions

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

module 5

**files (1)**

– ## MAT240ModuleFiveAssignmentTemplate.docx

**## MAT240ModuleFiveAssignmentTemplate.docx**

Hypothesis Testing for Regional Real Estate Company 3

[
**Note:** To complete this template, replace the bracketed text with your own content. Remove this note before you submit your outline.]

## Hypothesis Testing for Regional Real Estate Company

[Your Name]

Hypothesis Testing for Regional Real Estate Company 1

Southern New Hampshire University

### Introduction

[Describe the purpose of this analysis. Briefly describe how you generated your random sample of 750 houses.]

### Hypothesis Test Setup

[Define your population parameter.]

[Write the null and alternative hypotheses.]

[Specify the name of the test you will use and identify whether it is a left-tailed, right-tailed, or two-tailed test.]

### Data Analysis Preparations

[Provide the descriptive statistics of the sample (sample size, mean, median, and standard deviation).]

[Provide a histogram of the sample.]

[Summarize your sample by writing a sentence describing the shape, center, and spread of your sample.]

[Check whether the assumptions to perform your identified test have been met.]

[Identify the test significance level. For example, α = .05]

### Calculations

[Calculate the sample mean and standard error.]

[Determine the appropriate test statistic, then calculate the test statistic. Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 280.]

[Calculate the
_p_ value using one of the following tests:]

| | |
| — | — |
| **Excel Function** | **Type of Test** |
| =T.DIST.RT([test statistic], [degree of freedom]) | Right-tailed |
| =T.DIST([test statistic], [degree of freedom], 1) | Left-tailed |
| =T.DIST.2T([test statistic], [degree of freedom]) | Two-tailed |

[
**Note:** The degree of freedom is calculated by subtracting 1 from your sample size.]

[Use the normal curve graph as a reference to describe where the
_p_ value and test statistic would be placed.]

### Test Decision

[Compare the relationship between the
_p_ value and significance level.]

[Decide to reject or fail to reject the null hypothesis.]

### Conclusion

[Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.]

**## MAT240ModuleFiveAssignmentTemplate.docx**

Hypothesis Testing for Regional Real Estate Company 3

[
**Note:** To complete this template, replace the bracketed text with your own content. Remove this note before you submit your outline.]

## Hypothesis Testing for Regional Real Estate Company

[Your Name]

Hypothesis Testing for Regional Real Estate Company 1

Southern New Hampshire University

### Introduction

[Describe the purpose of this analysis. Briefly describe how you generated your random sample of 750 houses.]

### Hypothesis Test Setup

[Define your population parameter.]

[Write the null and alternative hypotheses.]

[Specify the name of the test you will use and identify whether it is a left-tailed, right-tailed, or two-tailed test.]

### Data Analysis Preparations

[Provide the descriptive statistics of the sample (sample size, mean, median, and standard deviation).]

[Provide a histogram of the sample.]

[Summarize your sample by writing a sentence describing the shape, center, and spread of your sample.]

[Check whether the assumptions to perform your identified test have been met.]

[Identify the test significance level. For example, α = .05]

### Calculations

[Calculate the sample mean and standard error.]

[Determine the appropriate test statistic, then calculate the test statistic. Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 280.]

[Calculate the
_p_ value using one of the following tests:]

| | |
| — | — |
| **Excel Function** | **Type of Test** |
| =T.DIST.RT([test statistic], [degree of freedom]) | Right-tailed |
| =T.DIST([test statistic], [degree of freedom], 1) | Left-tailed |
| =T.DIST.2T([test statistic], [degree of freedom]) | Two-tailed |

[
**Note:** The degree of freedom is calculated by subtracting 1 from your sample size.]

[Use the normal curve graph as a reference to describe where the
_p_ value and test statistic would be placed.]

### Test Decision

[Compare the relationship between the
_p_ value and significance level.]

[Decide to reject or fail to reject the null hypothesis.]

### Conclusion

[Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.]