A consumer advocacy group is doing a large study on car rental practices. Among other things, the consumer group would like to do a statistical test regarding the mean monthly mileage, μ, of cars rented in the U.S. this year. The consumer group has good reason to believe that the mean monthly mileage of cars rented in the U.S. this year is greater than last year's mean, which was 2700 miles. The group plans to do a statistical test regarding the value of μ. It chooses a random sample of monthly mileages and computes the mean of the sample to be 2800 miles and the standard deviation to be 750 miles. Based on this information, complete the parts below. (a) What are the null hypothesis H, and the alternative hypothesis H₁ that should be used for the test? H:0 H, :0 (b) Suppose that the group decides to reject the null hypothesis. What sort of error might it be making? (Choose one) ▼ (c) Suppose the true mean monthly mileage of cars rented in the U.S. this year is 2700. Fill in the blanks to describe a Type I error. A Type I error would be (Choose one) when, in fact, is (Choose one) ▼ the hypothesis that is (Choose one) ▼ (Choose one) μ Å OO #0

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**Educational Website Text: Statistical Testing in Car Rental Studies**

A consumer advocacy group is conducting a large-scale study on car rental practices. As part of their research, they want to perform a statistical test on the mean monthly mileage, denoted as \(\mu\), of cars rented in the U.S. The group believes there is a significant increase from the previous year's mean, which was 2700 miles.

The study involves a random sample of monthly mileages, where the sample mean is 2800 miles, and the standard deviation is 750 miles.

Complete the following tasks based on this data:

### (a) Hypothesis Formulation

**Null Hypothesis (\(H_0\))** and **Alternative Hypothesis (\(H_1\))** for the test:
- \(H_0\): \(\mu =\) (to be filled)
- \(H_1\): \(\mu \neq\) (to be filled)

### (b) Error Analysis

If the group decides to reject the null hypothesis, identify the type of error:
- Choose the type of error (Type I or Type II).

### (c) Exploring Type I Error

Assume the actual mean monthly mileage this year is 2700 miles. Consider the Type I error scenario:
- A Type I error would be (incorrectly rejecting/correctly accepting) the hypothesis that \(\mu\) is (2800/2700), when, in fact, \(\mu\) is (2800/2700).

This exercise aids in understanding hypothesis testing, error types, and statistical inference for real-world applications in consumer studies.
Transcribed Image Text:**Educational Website Text: Statistical Testing in Car Rental Studies** A consumer advocacy group is conducting a large-scale study on car rental practices. As part of their research, they want to perform a statistical test on the mean monthly mileage, denoted as \(\mu\), of cars rented in the U.S. The group believes there is a significant increase from the previous year's mean, which was 2700 miles. The study involves a random sample of monthly mileages, where the sample mean is 2800 miles, and the standard deviation is 750 miles. Complete the following tasks based on this data: ### (a) Hypothesis Formulation **Null Hypothesis (\(H_0\))** and **Alternative Hypothesis (\(H_1\))** for the test: - \(H_0\): \(\mu =\) (to be filled) - \(H_1\): \(\mu \neq\) (to be filled) ### (b) Error Analysis If the group decides to reject the null hypothesis, identify the type of error: - Choose the type of error (Type I or Type II). ### (c) Exploring Type I Error Assume the actual mean monthly mileage this year is 2700 miles. Consider the Type I error scenario: - A Type I error would be (incorrectly rejecting/correctly accepting) the hypothesis that \(\mu\) is (2800/2700), when, in fact, \(\mu\) is (2800/2700). This exercise aids in understanding hypothesis testing, error types, and statistical inference for real-world applications in consumer studies.
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