The average American gets a haircut every 39 days. Is the average larger for college students? The data below shows the results of a survey of 13 college students asking them how many days elapse between haircuts. Assume that the distribution of the population is normal. 33, 41, 33, 33, з6, 50, 45, 50, 42, 34, 49, 38, 36 What can be concluded at the the a = 0.10 level of significance level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Но: ? v Select an answer v H1: ? v Select an answer v c. The test statistic ? v = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 3 decimal places.) e. The p-value is ? va f. Based on this, we should Select an answer v the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the population mean number of days between haircuts for college students is not significantly higher than 39 at a = 0.10, so there is insufficient evidence to conclude that the population mean number of days between haircuts for college students is higher than 39. O The data suggest the population mean is not significantly higher than 39 at a = 0.10, so there is sufficient evidence to conclude that the population mean number of days between haircuts for college students is equal to 39. O The data suggest the populaton mean is significantly higher than 39 at = 0.10, so there is sufficient evidence to conclude that the population mean number of days between haircuts for college students is higher than 39.

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part f and g only please

**Study on Average Days Between Haircuts for College Students**

The average American gets a haircut every 39 days. This study aims to determine if this average is larger for college students. The data presented below is from a survey of 13 college students, showing how many days elapse between their haircuts. We assume normal distribution for the population.

**Data Collected:**
- Days between haircuts: 33, 41, 33, 33, 36, 50, 45, 50, 42, 34, 49, 38, 36

**Hypothesis Testing at α = 0.10 Level of Significance:**

a. For this study, we should use [Select an answer].

b. The null and alternative hypotheses are:
   - \( H_0 \): [Select an answer]
   - \( H_1 \): [Select an answer]

c. The test statistic is denoted by \( ? \) and needs to be calculated, showing the answer to three decimal places.

d. Calculate the p-value, ensuring the answer is shown to three decimal places.

e. Compare the p-value \( ? \) with \( \alpha \).

f. Based on this comparison, we should [Select an answer] the null hypothesis.

g. Final conclusions:
- Option 1: The data suggest the population mean number of days between haircuts for college students is not significantly higher than 39 at \( \alpha = 0.10 \). Thus, there's insufficient evidence to conclude that the mean is higher.
- Option 2: The data suggest the population mean is not significantly higher than 39 at \( \alpha = 0.10 \). Hence, there is insufficient evidence to conclude that the mean for college students is exactly 39.
- Option 3: The data suggest the population mean is significantly higher than 39 at \( \alpha = 0.10 \). Therefore, there is sufficient evidence to conclude the mean for college students is higher than 39. 

To proceed with this analysis, compute the test statistic and p-value using the sample data and compare it against the given α level to draw a conclusion on the hypotheses.
Transcribed Image Text:**Study on Average Days Between Haircuts for College Students** The average American gets a haircut every 39 days. This study aims to determine if this average is larger for college students. The data presented below is from a survey of 13 college students, showing how many days elapse between their haircuts. We assume normal distribution for the population. **Data Collected:** - Days between haircuts: 33, 41, 33, 33, 36, 50, 45, 50, 42, 34, 49, 38, 36 **Hypothesis Testing at α = 0.10 Level of Significance:** a. For this study, we should use [Select an answer]. b. The null and alternative hypotheses are: - \( H_0 \): [Select an answer] - \( H_1 \): [Select an answer] c. The test statistic is denoted by \( ? \) and needs to be calculated, showing the answer to three decimal places. d. Calculate the p-value, ensuring the answer is shown to three decimal places. e. Compare the p-value \( ? \) with \( \alpha \). f. Based on this comparison, we should [Select an answer] the null hypothesis. g. Final conclusions: - Option 1: The data suggest the population mean number of days between haircuts for college students is not significantly higher than 39 at \( \alpha = 0.10 \). Thus, there's insufficient evidence to conclude that the mean is higher. - Option 2: The data suggest the population mean is not significantly higher than 39 at \( \alpha = 0.10 \). Hence, there is insufficient evidence to conclude that the mean for college students is exactly 39. - Option 3: The data suggest the population mean is significantly higher than 39 at \( \alpha = 0.10 \). Therefore, there is sufficient evidence to conclude the mean for college students is higher than 39. To proceed with this analysis, compute the test statistic and p-value using the sample data and compare it against the given α level to draw a conclusion on the hypotheses.
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