A metropolitan transportation authority has set a bus mechanical reliability goal of 3,800 bus miles. Bus mechanical reliability is measured specifically as the number of bus miles between mechanical road calls. Suppose a sample of 100 buses resulted in a sample mean of 3,875 bus miles and a sample standard deviation of 275 bus miles. Complete parts (a) and (b) below. a. Is there evidence that the population mean bus miles is more than 3,800 bus miles? (Use a 0.01 level of significance.) State the null and alternative hypotheses. Ho: u s 3800 H,: u > 3800 (Type integers or decimals.) Find the test statistic for this hypothesis test. tSTAT = 2.72 (Round to two decimal places as needed.) The critical value(s) for the test statistic is(are) (Round to two decimal places as needed. Use a comma to separate answers as needed.)

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**Title:** Hypothesis Testing for Bus Mechanical Reliability

**Introduction:**
A metropolitan transportation authority has established a mechanical reliability goal for buses, set at 3,800 bus miles. Mechanical reliability is measured by the number of bus miles that occur between mechanical road calls. This problem examines whether the mean number of bus miles exceeds 3,800, based on a sample.

**Scenario:**
Suppose a sample of 100 buses showed a sample mean of 3,875 bus miles and a sample standard deviation of 275 bus miles. We need to determine if there is statistical evidence to assert that the population mean bus miles is greater than 3,800 at a 0.01 level of significance.

**Statistical Analysis:**

a. **Hypotheses:**
   - **Null Hypothesis (H₀):** μ ≤ 3,800
   - **Alternative Hypothesis (H₁):** μ > 3,800

   *(Here, "μ" denotes the population mean bus miles.)*

**Test Statistic:**
- The calculated test statistic t_STAT is 2.72.
  - **T_STAT = 2.72** (Rounded to two decimal places)

**Critical Value:**
- Determine the critical value(s) corresponding to the 0.01 level of significance for a one-tailed test. The critical value is where the test statistic is compared to decide whether to reject the null hypothesis.

**Conclusion:**
- The completed analysis with computed test statistics and critical values would suggest whether there is significant evidence to support the claim that the mean bus miles exceed 3,800. 

This statistical approach is essential for evaluating operational goals and making data-driven decisions in transportation management.

*(Note: Further calculations would require determining or providing the critical value for a more comprehensive conclusion.)*
Transcribed Image Text:**Title:** Hypothesis Testing for Bus Mechanical Reliability **Introduction:** A metropolitan transportation authority has established a mechanical reliability goal for buses, set at 3,800 bus miles. Mechanical reliability is measured by the number of bus miles that occur between mechanical road calls. This problem examines whether the mean number of bus miles exceeds 3,800, based on a sample. **Scenario:** Suppose a sample of 100 buses showed a sample mean of 3,875 bus miles and a sample standard deviation of 275 bus miles. We need to determine if there is statistical evidence to assert that the population mean bus miles is greater than 3,800 at a 0.01 level of significance. **Statistical Analysis:** a. **Hypotheses:** - **Null Hypothesis (H₀):** μ ≤ 3,800 - **Alternative Hypothesis (H₁):** μ > 3,800 *(Here, "μ" denotes the population mean bus miles.)* **Test Statistic:** - The calculated test statistic t_STAT is 2.72. - **T_STAT = 2.72** (Rounded to two decimal places) **Critical Value:** - Determine the critical value(s) corresponding to the 0.01 level of significance for a one-tailed test. The critical value is where the test statistic is compared to decide whether to reject the null hypothesis. **Conclusion:** - The completed analysis with computed test statistics and critical values would suggest whether there is significant evidence to support the claim that the mean bus miles exceed 3,800. This statistical approach is essential for evaluating operational goals and making data-driven decisions in transportation management. *(Note: Further calculations would require determining or providing the critical value for a more comprehensive conclusion.)*
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