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

Learning Goal: I’m working on a applied mathematics writing question and need an explanation and answer to help me learn.ScenarioYou have been hired by the Regional Real Estate Company to help them
analyze real estate data. One of the company’s Pacific region
salespeople just returned to the office with a newly designed
advertisement. The average cost per square foot of home sales based on
per square foot in the Pacific region is less than \$280. In other
higher average cost per square foot in the Pacific Region. He wants you
to make sure he can make that statement before approving the use of the
advertisement. In order to test his claim, you will generate a random
sample size of 750 using data for the Pacific region and use this data
to perform a hypothesis test. PromptGenerate a sample of size 750 using data for the Pacific region.
Then, design a hypothesis test and interpret the results using
significance level α = .05. You will work with this sample in the
assignment. Briefly describe how you generated your random sample.Use the House Listing Price by Region document and the National Summary Statistics and Graphs House Listing Price by Region documents to help support your work on this assignment. You may also use the Descriptive Statistics in Excel and Creating Histograms in Excel tutorials for support.Specifically, you must address the following rubric criteria, using the Module Five Assignment TemplateHypothesis Test Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.
Specify the name of the test you will use.
Identify whether it is a left-tailed, right-tailed, or two-tailed test.
Data Analysis Preparations: Describe sample summary
statistics, provide a histogram and summary, check assumptions, and
find the test statistic and significance level.
Provide the descriptive statistics (sample size, mean, median, and standard deviation).
Provide a histogram of your sample.
Determine whether the conditions to perform your identified test have been met.
Calculations: Calculate the p value, describe the p
value and test statistic in regard to the normal curve graph, discuss
how the p value relates to the significance level, and compare the p
value to the significance level to reject or fail to reject the null
hypothesis.
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.Note: For
right-tailed, use the T.DIST.RT function in Excel, left-tailed is the
T.DIST function, and two-tailed is the T.DIST.2T function. The degree of
freedom is calculated by subtracting 1 from your sample size.Choose your test from the following:=T.DIST.RT([test statistic], [degree of freedom])=T.DIST([test statistic], [degree of freedom], 1)=T.DIST.2T([test statistic], [degree of freedom])
Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.
Test Decision: Discuss the relationship between the
p value and the significance level, including a comparison between the
two, and decide to reject or fail to reject the null hypothesis.
Discuss how the p value relates to the significance level.
Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.
Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.
Explain in one paragraph how your test decision relates to your
hypothesis and whether your conclusions are statistically significant.
Guidelines for SubmissionSubmit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts.
Module Five Assignment Rubric
Criteria
Exemplary (100%)
Proficient (85%)
Needs Improvement (55%)
Not Evident (0%)

Pages (275 words)
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