A researcher wants to know if the news station a person watches is a factor in the amount of time (in minutes) that they watch. The table below shows data that was collected from a survey. Local FOX CNN 28 29 18 18 52 39 48 35 69 15 42 26 16 48 40 39 66 70 38 33 64 24 41 28 Assume that all distributions are normal, the three population standard deviations are all the same, and the data was collected independently and randomly. Use a level of significance of a = 0.05. Ho: ₁= H2= μ43 H₁: At least two of the means differ from each other. 21 46

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**Study Analysis on News Station Viewing Time**

A researcher is investigating whether the choice of news station impacts the duration of time (in minutes) people spend watching it. The data below represents survey responses:

| Local | FOX | CNN |
|-------|-----|-----|
| 48    | 28  | 29  |
| 40    | 18  | 18  |
| 39    | 52  | 39  |
| 66    | 48  | 35  |
| 70    | 69  | 15  |
| 38    | 21  | 46  |
| 33    | 40  | 26  |
| 64    | 44  | 16  |
| 41    | 28  | -   |

Assumptions:
- All distributions are normal.
- Population standard deviations are equal.
- Data is independently and randomly collected.
- Significance level: \(\alpha = 0.05\).

**Hypothesis:**

- Null Hypothesis (\(H_0\)): \(\mu_1 = \mu_2 = \mu_3\)
- Alternative Hypothesis (\(H_1\)): At least two means differ.

**Analysis Steps:**

1. **Study Type Selection:**
   - Select an appropriate answer regarding the study type.

2. **Test-Statistic Calculation:**
   - Compute and enter the test-statistic value (accurate to 3 decimal places).

3. **P-Value Calculation:**
   - Compute and enter the p-value (accurate to 4 decimal places).

4. **Compare P-Value to \(\alpha\):**
   - Select an appropriate answer based on the p-value’s relationship to \(\alpha\).

5. **Hypothesis Decision:**
   - Choose whether to accept or reject the null hypothesis.

6. **Final Conclusion:**
   - Choose between:
     - Sufficient evidence exists to support the claim that the station is a factor in viewing time.
     - Insufficient evidence exists to support the claim.

This analysis helps determine whether the news station affects the amount of time spent watching, providing insight into viewing behaviors.
Transcribed Image Text:**Study Analysis on News Station Viewing Time** A researcher is investigating whether the choice of news station impacts the duration of time (in minutes) people spend watching it. The data below represents survey responses: | Local | FOX | CNN | |-------|-----|-----| | 48 | 28 | 29 | | 40 | 18 | 18 | | 39 | 52 | 39 | | 66 | 48 | 35 | | 70 | 69 | 15 | | 38 | 21 | 46 | | 33 | 40 | 26 | | 64 | 44 | 16 | | 41 | 28 | - | Assumptions: - All distributions are normal. - Population standard deviations are equal. - Data is independently and randomly collected. - Significance level: \(\alpha = 0.05\). **Hypothesis:** - Null Hypothesis (\(H_0\)): \(\mu_1 = \mu_2 = \mu_3\) - Alternative Hypothesis (\(H_1\)): At least two means differ. **Analysis Steps:** 1. **Study Type Selection:** - Select an appropriate answer regarding the study type. 2. **Test-Statistic Calculation:** - Compute and enter the test-statistic value (accurate to 3 decimal places). 3. **P-Value Calculation:** - Compute and enter the p-value (accurate to 4 decimal places). 4. **Compare P-Value to \(\alpha\):** - Select an appropriate answer based on the p-value’s relationship to \(\alpha\). 5. **Hypothesis Decision:** - Choose whether to accept or reject the null hypothesis. 6. **Final Conclusion:** - Choose between: - Sufficient evidence exists to support the claim that the station is a factor in viewing time. - Insufficient evidence exists to support the claim. This analysis helps determine whether the news station affects the amount of time spent watching, providing insight into viewing behaviors.
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