(a) State the nul hypothesis H, and the alternative hypothesis H. 5 ? test"). Here is some ather information to help you with your (b) Perform a hypothesis test. The test statistic has a normal distribution (so the test test. as is the value that cuts off an area of 0.05 in the right tail. • The test statistic has a normal distribution and the value is given by = Standard Normal Distribution Stup 1: Salea onetaled or tao aled. O One-taled O Teed Stup 2 Enter the cical vala (ound to decimal placs) Stup Enter the test at (und to 3 decmal places) (c) Based on your answer to part (b), choose what can be concluded, at the 0.10 level of significance, about the claim made by the management.

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**Educational Website Explanation:**

---

**Hypothesis Testing Overview:**

The scenario explores whether sufficient evidence exists to claim that the mean customer satisfaction rating at a local restaurant, previously 79, has changed following a renovation. The management theorizes that the new mean rating, \(\mu\), is no longer 79. A sample of 31 customers gives an average rating of 78.3, with a known population standard deviation of 7.6. Using a significance level of 0.10, a hypothesis test is conducted.

**(a) Defining Hypotheses:**

- **Null Hypothesis (\(H_0\)):** \(\mu = 79\)
- **Alternative Hypothesis (\(H_1\)):** \(\mu \neq 79\)

**(b) Performing the Hypothesis Test:**

- **Test Statistic:** In this context, a z-test is used because the sample size is large and the population standard deviation is known. The test statistic (\(z\)) is calculated using:
  
  \[
  z = \frac{\bar{x} - \mu}{\sigma / \sqrt{n}}
  \]

  Where:
  \(\bar{x} = 78.3\) (sample mean),
  \(\mu = 79\) (hypothesized mean),
  \(\sigma = 7.6\) (population standard deviation),
  \(n = 31\) (sample size).

- **Critical Value:** \(z_{0.05}\) is the critical z-value for a two-tailed test at a significance level of 0.10, split to 0.05 in each tail.

**Standard Normal Distribution:**

The diagram illustrates the standard normal distribution, highlighting critical areas for hypothesis testing:

1. **Select Test Type:** Two-tailed is selected.
2. **Critical Values:** The critical values that form the rejection regions are entered.
3. **Enter Test Statistic:** The calculated test statistic is inserted to determine its location relative to the critical regions.

**(c) Conclusion at 0.10 Significance Level:**

The outcome is determined based on where the test statistic falls:

- If the test statistic lands in the rejection region, it provides enough evidence to reject \(H_0\), supporting the claim that the mean customer rating is not 79.
- If the test statistic is not in the rejection region, there's insufficient
Transcribed Image Text:**Educational Website Explanation:** --- **Hypothesis Testing Overview:** The scenario explores whether sufficient evidence exists to claim that the mean customer satisfaction rating at a local restaurant, previously 79, has changed following a renovation. The management theorizes that the new mean rating, \(\mu\), is no longer 79. A sample of 31 customers gives an average rating of 78.3, with a known population standard deviation of 7.6. Using a significance level of 0.10, a hypothesis test is conducted. **(a) Defining Hypotheses:** - **Null Hypothesis (\(H_0\)):** \(\mu = 79\) - **Alternative Hypothesis (\(H_1\)):** \(\mu \neq 79\) **(b) Performing the Hypothesis Test:** - **Test Statistic:** In this context, a z-test is used because the sample size is large and the population standard deviation is known. The test statistic (\(z\)) is calculated using: \[ z = \frac{\bar{x} - \mu}{\sigma / \sqrt{n}} \] Where: \(\bar{x} = 78.3\) (sample mean), \(\mu = 79\) (hypothesized mean), \(\sigma = 7.6\) (population standard deviation), \(n = 31\) (sample size). - **Critical Value:** \(z_{0.05}\) is the critical z-value for a two-tailed test at a significance level of 0.10, split to 0.05 in each tail. **Standard Normal Distribution:** The diagram illustrates the standard normal distribution, highlighting critical areas for hypothesis testing: 1. **Select Test Type:** Two-tailed is selected. 2. **Critical Values:** The critical values that form the rejection regions are entered. 3. **Enter Test Statistic:** The calculated test statistic is inserted to determine its location relative to the critical regions. **(c) Conclusion at 0.10 Significance Level:** The outcome is determined based on where the test statistic falls: - If the test statistic lands in the rejection region, it provides enough evidence to reject \(H_0\), supporting the claim that the mean customer rating is not 79. - If the test statistic is not in the rejection region, there's insufficient
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