Now suppose the population consists of all adults living in rural southwest Virginia, and of interest is u = the tance that all adults living in southwest Virginia must travel to visit their primary care physician. It is conjectured that the mean distance that all adults living in southwest Virginia must travel to visit their primary care physician is 14 miles, and residents of the area want to test this versus the alternative that the mean number of miles that all adults in southwest Virginia must travel to visit their primary care physician is greater than 14 miles. State the appropriate null and alternative hypotheses that should be tested. Consider the information and hypotheses specified in question 10. A simple random sample of 81 adults outhwest Virginia was selected and the distance each must travel to visit their primary care physician was recorded. The mean distance traveled for this sample of 81 adults was 16.4 miles, with a standard deviation of 9.9 miles. If appropriate, use this information to test the hypotheses stated in question 10 at the a=.10 level of significance.

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**Hypothesis Testing for Mean Distance to Primary Care Physicians in Southwest Virginia**

**Problem Statement:**

Consider a population consisting of all adults living in rural southwest Virginia. Our main variable of interest is \( \mu \), representing the mean distance that adults must travel to visit their primary care physician. A conjecture states that the average distance traveled by these residents is 14 miles. Residents are interested in testing whether this mean distance is greater than 14 miles.

**Tasks:**

1. **State the appropriate null and alternative hypotheses.**

   - **Null Hypothesis (\(H_0\)):** The mean distance \( \mu \) that adults in southwest Virginia travel to a primary care physician is 14 miles.
     \[
     H_0: \mu = 14
     \]

   - **Alternative Hypothesis (\(H_1\)):** The mean distance \( \mu \) that adults travel is greater than 14 miles.
     \[
     H_1: \mu > 14
     \]

**Data Collection and Analysis:**

A simple random sample of 81 adults from southwest Virginia was taken. The distance each adult must travel to reach their primary care physician was recorded, resulting in a mean travel distance of 16.4 miles with a standard deviation of 9.9 miles.

**Hypothesis Testing:**

We will test the hypotheses identified using the collected sample data at the \( \alpha = 0.10 \) level of significance. This implies we're willing to accept a 10% risk of concluding that the mean distance is greater than 14 miles when it is not. 

*Note: The statistical analysis will involve computing the test statistic and comparing it with the critical value for a one-tailed test, or using a p-value to make a decision regarding the hypotheses.*
Transcribed Image Text:**Hypothesis Testing for Mean Distance to Primary Care Physicians in Southwest Virginia** **Problem Statement:** Consider a population consisting of all adults living in rural southwest Virginia. Our main variable of interest is \( \mu \), representing the mean distance that adults must travel to visit their primary care physician. A conjecture states that the average distance traveled by these residents is 14 miles. Residents are interested in testing whether this mean distance is greater than 14 miles. **Tasks:** 1. **State the appropriate null and alternative hypotheses.** - **Null Hypothesis (\(H_0\)):** The mean distance \( \mu \) that adults in southwest Virginia travel to a primary care physician is 14 miles. \[ H_0: \mu = 14 \] - **Alternative Hypothesis (\(H_1\)):** The mean distance \( \mu \) that adults travel is greater than 14 miles. \[ H_1: \mu > 14 \] **Data Collection and Analysis:** A simple random sample of 81 adults from southwest Virginia was taken. The distance each adult must travel to reach their primary care physician was recorded, resulting in a mean travel distance of 16.4 miles with a standard deviation of 9.9 miles. **Hypothesis Testing:** We will test the hypotheses identified using the collected sample data at the \( \alpha = 0.10 \) level of significance. This implies we're willing to accept a 10% risk of concluding that the mean distance is greater than 14 miles when it is not. *Note: The statistical analysis will involve computing the test statistic and comparing it with the critical value for a one-tailed test, or using a p-value to make a decision regarding the hypotheses.*
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