40 married couples without children are asked to report the number of times per year they initiate a date night. The men report initiating an average of 7.5 date nights with a standard deviation of 4.7. Is there significant evidence to conclude that married men without children initiate date night 6 times per year at the 0.05 significance level? Note that there's evidence that this distribution is skewed. What are the hypotheses? Ho: µ < 6 vs Hị: µ > 6 Ho: µ = 7.5 vs H1: µ # 7.5 Ho: μ= 6 νs Ηi: μ 6 Ο Η: μ < 7.5 vs Η1: μ > 7.5 What distribution does the test statistic follow? Ot with 40 degrees of freedom Ot with 39 degrees of freedom t with 41 degrees of freedom What is the value of the test statistic? Round to two decimal places.

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Sure, here is the transcription of the text from the image:

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After you calculate the p-value, state and justify your decision.

- ○ Accept \( H_0 \) because the p-value > α.
- ○ Reject \( H_0 \) because the p-value > α.
- ○ Accept \( H_0 \) because the p-value < α.
- ○ Reject \( H_0 \) because the p-value < α.
- ○ Fail to reject \( H_0 \) because the p-value < α.
- ○ Fail to reject \( H_0 \) because the p-value > α.

---

The correct conclusion is that we [Select an answer] conclude that the average number of date nights [Select an answer] married men without children initiate [Select an answer] days.

---

What level of concern do you have for the validity of your results?

- ○ Valid — the sample size is greater than 30
- ○ Questionable — there is likely to be some response bias, but at least \( n > 30 \)
- ○ Questionable — there is likely to be some nonresponse bias, but at least \( n > 30 \)
- ○ Questionable — there is likely to be some nonresponse bias and, while \( n > 30 \), the skewness in the distribution is concerning
- ○ Questionable — While \( n > 30 \), the skewness in the distribution is concerning
- ○ Questionable — there is likely to be some response bias and, while \( n > 30 \), the skewness in the distribution is concerning

---
Transcribed Image Text:Sure, here is the transcription of the text from the image: --- After you calculate the p-value, state and justify your decision. - ○ Accept \( H_0 \) because the p-value > α. - ○ Reject \( H_0 \) because the p-value > α. - ○ Accept \( H_0 \) because the p-value < α. - ○ Reject \( H_0 \) because the p-value < α. - ○ Fail to reject \( H_0 \) because the p-value < α. - ○ Fail to reject \( H_0 \) because the p-value > α. --- The correct conclusion is that we [Select an answer] conclude that the average number of date nights [Select an answer] married men without children initiate [Select an answer] days. --- What level of concern do you have for the validity of your results? - ○ Valid — the sample size is greater than 30 - ○ Questionable — there is likely to be some response bias, but at least \( n > 30 \) - ○ Questionable — there is likely to be some nonresponse bias, but at least \( n > 30 \) - ○ Questionable — there is likely to be some nonresponse bias and, while \( n > 30 \), the skewness in the distribution is concerning - ○ Questionable — While \( n > 30 \), the skewness in the distribution is concerning - ○ Questionable — there is likely to be some response bias and, while \( n > 30 \), the skewness in the distribution is concerning ---
**Hypothesis Testing on Date Nights Initiation**

**Scenario:**
Forty married couples without children are surveyed on the number of times per year they initiate a date night. The men report an average of 7.5 date nights with a standard deviation of 4.7. We are tasked to assess if there is significant evidence that married men without children initiate date nights at least 6 times per year at the 0.05 significance level. Note that the distribution is skewed.

**Questions:**

1. **What are the hypotheses?**
   - \( H_0: \mu \leq 6 \) vs \( H_1: \mu > 6 \)
   - \( H_0: \mu = 7.5 \) vs \( H_1: \mu \neq 7.5 \)
   - \( H_0: \mu = 6 \) vs \( H_1: \mu \neq 6 \)
   - \( H_0: \mu \leq 7.5 \) vs \( H_1: \mu > 7.5 \)

2. **What distribution does the test statistic follow?**
   - \( t \) with 40 degrees of freedom
   - \( t \) with 39 degrees of freedom
   - \( t \) with 41 degrees of freedom
   - \( z \)

3. **What is the value of the test statistic?**   
   *Round to two decimal places.*

4. **What is the probability statement for the p-value?**
   - \( P(T \geq \text{test statistic}) \)
   - \( P(Z \geq \text{test statistic}) \)
   - \( 2P(Z \neq \text{test statistic}) \)
   - \( 2P(T \neq \text{test statistic}) \)
   - None of the above

5. **After you calculate the p-value, state and justify your decision.**

This exercise involves setting up hypotheses, determining the correct statistical test and distribution, computing test statistics, and concluding based on p-values.
Transcribed Image Text:**Hypothesis Testing on Date Nights Initiation** **Scenario:** Forty married couples without children are surveyed on the number of times per year they initiate a date night. The men report an average of 7.5 date nights with a standard deviation of 4.7. We are tasked to assess if there is significant evidence that married men without children initiate date nights at least 6 times per year at the 0.05 significance level. Note that the distribution is skewed. **Questions:** 1. **What are the hypotheses?** - \( H_0: \mu \leq 6 \) vs \( H_1: \mu > 6 \) - \( H_0: \mu = 7.5 \) vs \( H_1: \mu \neq 7.5 \) - \( H_0: \mu = 6 \) vs \( H_1: \mu \neq 6 \) - \( H_0: \mu \leq 7.5 \) vs \( H_1: \mu > 7.5 \) 2. **What distribution does the test statistic follow?** - \( t \) with 40 degrees of freedom - \( t \) with 39 degrees of freedom - \( t \) with 41 degrees of freedom - \( z \) 3. **What is the value of the test statistic?** *Round to two decimal places.* 4. **What is the probability statement for the p-value?** - \( P(T \geq \text{test statistic}) \) - \( P(Z \geq \text{test statistic}) \) - \( 2P(Z \neq \text{test statistic}) \) - \( 2P(T \neq \text{test statistic}) \) - None of the above 5. **After you calculate the p-value, state and justify your decision.** This exercise involves setting up hypotheses, determining the correct statistical test and distribution, computing test statistics, and concluding based on p-values.
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