Hypothesis testing I and II, Testing differences between means, variances and proportions

I’m trying to study for my Statistics course and I need some help to understand this question.

A town official claims that the average vehicle in their area sells for more than the 40th percentile of your data set. Using the data, you obtained in week 1, as well as the summary statistics you found for the original data set, run a hypothesis test to determine if the claim can be supported. Make sure you state all the important values, so your fellow classmates can use them to run a hypothesis test as well. Use the descriptive statistics you found during Week 2 NOT the new SD you found during Week 4. Because again, we are using the original 10 sample data set NOT a new smaller sample size. Use alpha = .05 to test your claim.

(Note: You will want to use the function =PERCENTILE.INC in Excel to find the 40th percentile of your data set. Hopefully this Excel function looks familiar to you from Week 2.)

First determine if you are using a z or t-test and explain why. Then conduct a four-step hypothesis test including a sentence at the end justifying the support or lack of support for the claim and why you made that choice.

Review the Week 6 Hypothesis Testing PDF in the attachment of the discussion forum. This will give you a step by step example on how to calculate and run a hypothesis test using Excel. I DO NOT recommend doing this by hand. Let Excel do the heavy lifting for you.

There were 5 additional PDFs that were created to help you with the Homework in the attachments. While they won’t be used to answer the questions in the discussion forum, they are just as useful and beneficial. I encourage you to review these ASAP! These PDFs are also located at the bottom of the forum.

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