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Cars on Campus. Statistics students at a community college wonder whether the cars belonging to students...

Cars on Campus. Statistics students at a community college wonder whether the cars belonging to students are, on average, older than the cars belonging to faculty. They select a random sample of 37 cars in the student parking lot and find the average age to be 8.5 years with a standard deviation of 6 years. A random sample of 32 cars in the faculty parking lot have an average age of 5.1 years with a standard deviation of 4.1 years. Note: The degrees of freedom for this problem is df = 63.777523. Round all results to 4 decimal places. Remember not to round for intermediate calculations! 1. The null hypothesis is ?0:??=??. What is the alternate hypothesis? A. ??:??<?? B. ??:??≠?? C. ??:??>?? 2. Calculate the test statistic. = 3. Calculate the p-value for this hypothesis test. p value = 4. Suppose that students at a nearby university decide to replicate this test. Using the information from the community college, they calculate an effect size of 0.65. Next, they obtain samples from the university student and faculty lots and, using their new sample data, conduct the same hypothesis test. They calculate a p-value of 0.0414 and an effect size of 0.299. Do their results confirm or conflict with the results at the community college? A. It confirms the community college results because the effect size is nearly the same. B. It contradicts the community college results because the effect size is much smaller. C. It contradicts the community college results because the p-value is much bigger D. It confirms the community college results because the p-value is much smaller. E. It can neither confirm or contradict the community college results because we don't know the sample sizes the university s

Homework Answers

Answer #1

The statistical software output for this problem is:

On the basis of above output:

1. Option C is correct.

2. t = 2.7777

3. p - Value = 0.0036

4. It contradicts the community college results because the effect size is much smaller.

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