Project 2 Questions

Studies show that students learn better by working with other students. This will also help you develop some of the key skills that employers report is lacking in college graduates, the ability to work in groups to accomplish a common goal as well as presentation skills.

• Use your topic from Project 1 to make the most of making connections. The same applies for this project… working in your groups but each person should submit a copy of the answers.
• Upload the answers to all parts below as file uploads.
• Prepare a 5-15 minute presentation to share your findings with me live over Teams.
• Feel free to work closely with me on your project if you are interested in producing a project that you could add to your college portfolio.

PART 1 – Data Collection –

1. I would encourage you to use the same data as you used in lab 1. However, if for some reason the data you found didn’t live up to your hopes and dreams or if you just decided on a different question you’d like to explore, then you can redo part 1 and find another data set.
2. What variable is the main measure of your hypothesis test – a mean, a proportion, or a correlation?

PART 2 – Confidence Intervals (use Stat Crunch) –

1. Construct a 90% Confidence Interval.
2. Describe in a sentence what your confidence Interval is showing and how this relates to the population claim.
3. Does the population value fall within your confidence interval?
4. Would a 95% confidence interval or a 99% confidence interval reveal anything meaningful? For instance, an interval that may not contain your population value. How would you interpret a higher confidence interval?

PART 3 – Hypothesis Testing (use Stat Crunch) –

1. Write the null hypothesis and the alternate hypothesis in words.
2. Write the claim in statistical notation:
   1. H0: μ= (null hypothesis)
   2. H1: μ< or H1: μ> or H1: μ≠ (alternate hypothesis)
3. Test your claim with 90% confidence. What is the significance level (alpha – α)?
4. What is the test statistic? (round to 2 decimals)
5. What is the p-value? (round to 2 decimals)
6. Interpret the p-value?
7. Compare the p-value to alpha, and decide whether to reject or not reject. Write this out in full sentence for example: “I reject ___ and have enough evidence to support ___”.
8. Explain what a Type I Error would be in your particular case.
9. Summarize any highlights from your exploration of data. Summarize your intent, your findings and anything you learned. Did you prove your claim or did you find out that you were wrong? Did you have to change your original claim because you didn’t find the best data that represented your inquiry?