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[>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, repl…
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[>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, ฮฑ = .05]
### Calculations
[Calculate the sample mean and standard error.]
[Determine the appropriate test statistic, then calculate the test statistic. Note:ย This calculation is (mean โ 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, ฮฑ = .05]
### Calculations
[Calculate the sample mean and standard error.]
[Determine the appropriate test statistic, then calculate the test statistic. Note:ย This calculation is (mean โ 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.]