(a) State the null hyxpothesis Ho and the alternative hypothesis H . H, :0 H :0 (b) Determine the type of test statistic to use. (Choose one) (c) Find the value of the test statistic. (Round to three or more decimal places.) (d) Find the two critical values at the 0.05 level of significance. (Round to three or more decimal places.) O and I (e) Can we support the claim that the mean number of commercials aired during prime time by the first station is not equal to the mean number of commercials aired during prime time by the second station? O Yes ONo

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**Hypothesis Test for the Difference of Population Means: Z Test**

The historical reports from two major networks showed that the mean number of commercials aired during prime time was equal for both networks last year. To determine whether they still air the same number of commercials, a random and independent sample of 70 recent prime-time airings from both networks was considered. 

- The first network aired a mean of 110.9 commercials during prime time with a standard deviation of 4.8.
- The second network aired a mean of 109.1 commercials during prime time with a standard deviation of 4.7.

Since the sample sizes are quite large:
- Assume the population standard deviations are equal to the sample standard deviations: 4.8 and 4.7.
- At the 0.05 level of significance, the evidence needs to support whether the mean number of commercials aired, \( \mu_1 \), by the first station is not equal to the mean number, \( \mu_2 \), by the second station. Perform a two-tailed test.

**Steps to Complete:**

(a) **State the Null and Alternative Hypothesis:**
- \( H_0: \)
- \( H_1: \)

(b) **Determine the Type of Test Statistic to Use:** 
- (Choices provided in a dropdown menu)

(c) **Find the Value of the Test Statistic:**
- (Round to three or more decimal places) 
- [Input Box]

(d) **Find the Two Critical Values at the 0.05 Level of Significance:**
- (Round to three or more decimal places) 
- [Input Boxes]

(e) **Conclusion:**
- Can we support the claim that the mean number of commercials aired by the first station is not equal to the mean number aired by the second station?
  - Yes [ ]  
  - No [ ]

**Note:** Carry your intermediate computations to at least three decimal places. If necessary, consult a list of formulas. Use the symbols and equations provided on the right for assistance in formulating hypotheses and calculations.
Transcribed Image Text:**Hypothesis Test for the Difference of Population Means: Z Test** The historical reports from two major networks showed that the mean number of commercials aired during prime time was equal for both networks last year. To determine whether they still air the same number of commercials, a random and independent sample of 70 recent prime-time airings from both networks was considered. - The first network aired a mean of 110.9 commercials during prime time with a standard deviation of 4.8. - The second network aired a mean of 109.1 commercials during prime time with a standard deviation of 4.7. Since the sample sizes are quite large: - Assume the population standard deviations are equal to the sample standard deviations: 4.8 and 4.7. - At the 0.05 level of significance, the evidence needs to support whether the mean number of commercials aired, \( \mu_1 \), by the first station is not equal to the mean number, \( \mu_2 \), by the second station. Perform a two-tailed test. **Steps to Complete:** (a) **State the Null and Alternative Hypothesis:** - \( H_0: \) - \( H_1: \) (b) **Determine the Type of Test Statistic to Use:** - (Choices provided in a dropdown menu) (c) **Find the Value of the Test Statistic:** - (Round to three or more decimal places) - [Input Box] (d) **Find the Two Critical Values at the 0.05 Level of Significance:** - (Round to three or more decimal places) - [Input Boxes] (e) **Conclusion:** - Can we support the claim that the mean number of commercials aired by the first station is not equal to the mean number aired by the second station? - Yes [ ] - No [ ] **Note:** Carry your intermediate computations to at least three decimal places. If necessary, consult a list of formulas. Use the symbols and equations provided on the right for assistance in formulating hypotheses and calculations.
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