The mean number of English courses taken in a two-year time period by male and female college students is believed to be about the same. An experiment is conducted and data are collected from 29 males and 16 females. The males took an averag English courses with a standard deviation of 0.9. The females took an average of five English courses with a standard deviation of 1.1. Are the means statistically the same? (Use a = 0.05) NOTE: If you are using a Student's t-distribution for the problem, including for paired data, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) O Part (a) O Part (b) O Part (c) O Part (d) O Part (e) O Part (f) What is the p-value? (Round your answer to four decimal places.) Explain what the p-value means for this problem. O f Ho is false, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at least 1. O IH Ho is true, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at least 1. O H Ho is false, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at most 1. O Ho is true, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at most 1.

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The text is about analyzing whether the mean number of English courses taken by male and female college students over a two-year period is statistically the same. The study collected data from 29 males and 16 females. Males took an average of four courses with a standard deviation of 0.9, while females took an average of five courses with a standard deviation of 1.1. 

**Question: Are the means statistically the same? (Use α = 0.05)**

The text prompts users to consider using a Student's t-distribution for paired data, with the assumption of a normally distributed population.

**Components of the analysis:**
- Part (a) to Part (f): Response areas for solving the problem.
  
**Question: What is the p-value? (Round your answer to four decimal places.)**

Check boxes for multiple choice with explanations on what the p-value means for the problem:

- If \( H_0 \) is false, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at least 1.
- If \( H_0 \) is true, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at least 1.
- If \( H_0 \) is false, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at most 1.
- If \( H_0 \) is true, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at most 1.

**Directions for the response: Part (g)**

Indicate the correct decision ("reject" or "do not reject" the null hypothesis), provide reasoning, and write an appropriate conclusion.

- Alpha (α): 0.05

This task involves statistical analysis to compare means and interpret p-values in the context of hypothesis testing, focusing on the decision criteria for rejecting or not rejecting the null hypothesis.
Transcribed Image Text:The text is about analyzing whether the mean number of English courses taken by male and female college students over a two-year period is statistically the same. The study collected data from 29 males and 16 females. Males took an average of four courses with a standard deviation of 0.9, while females took an average of five courses with a standard deviation of 1.1. **Question: Are the means statistically the same? (Use α = 0.05)** The text prompts users to consider using a Student's t-distribution for paired data, with the assumption of a normally distributed population. **Components of the analysis:** - Part (a) to Part (f): Response areas for solving the problem. **Question: What is the p-value? (Round your answer to four decimal places.)** Check boxes for multiple choice with explanations on what the p-value means for the problem: - If \( H_0 \) is false, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at least 1. - If \( H_0 \) is true, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at least 1. - If \( H_0 \) is false, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at most 1. - If \( H_0 \) is true, then there is a chance equal to the p-value that the difference in the sample mean number of English courses taken by males and females is at most 1. **Directions for the response: Part (g)** Indicate the correct decision ("reject" or "do not reject" the null hypothesis), provide reasoning, and write an appropriate conclusion. - Alpha (α): 0.05 This task involves statistical analysis to compare means and interpret p-values in the context of hypothesis testing, focusing on the decision criteria for rejecting or not rejecting the null hypothesis.
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