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 average of two English courses with a standard deviation of 0.7. The females took an average of three English courses with a standard deviation of 1.1. Are the means statistically the same? (Use  ? = 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.)

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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 average of two English courses with a standard deviation of 0.7. The females took an average of three English courses with a standard deviation of 1.1. Are the means statistically the same? (Use 

? = 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.)

 

The following text appears on an educational website related to a statistical hypothesis test regarding English course enrollment among college students:

**Problem Statement:**
The mean number of English courses taken over a two-year period by male and female college students is believed to be approximately the same. An experiment is conducted using data from 29 males and 16 females. The males took an average of two English courses with a standard deviation of 0.7. The females took an average of three English courses with a standard deviation of 1.1. The question posed is whether the means are statistically the same with a significance level of \( \alpha = 0.05 \).

**Instructions and Solutions:**

- **Part (d):** 
  **Question:** State the distribution to use for the test. (Your answer should be in the form \( z \) or \( t_{df} \) where \( df \) is the degrees of freedom. Round to two decimal places.)
  **Given Answer:** \( t_{44} \)
  **Correction:** The answer chosen was marked incorrect.

- **Part (f):** 
  **Question:** What is the p-value? (Round your answer to four decimal places.)
  **Given Answer:** 0.0249
  **Correction:** The answer chosen was marked incorrect.

  **Explanation of p-value choice:**
  - “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.”
  - This choice was marked correct.

This setup engages students in the process of applying hypothesis testing, interpreting statistical results, and understanding the implications of p-values in testing the null hypothesis.
Transcribed Image Text:The following text appears on an educational website related to a statistical hypothesis test regarding English course enrollment among college students: **Problem Statement:** The mean number of English courses taken over a two-year period by male and female college students is believed to be approximately the same. An experiment is conducted using data from 29 males and 16 females. The males took an average of two English courses with a standard deviation of 0.7. The females took an average of three English courses with a standard deviation of 1.1. The question posed is whether the means are statistically the same with a significance level of \( \alpha = 0.05 \). **Instructions and Solutions:** - **Part (d):** **Question:** State the distribution to use for the test. (Your answer should be in the form \( z \) or \( t_{df} \) where \( df \) is the degrees of freedom. Round to two decimal places.) **Given Answer:** \( t_{44} \) **Correction:** The answer chosen was marked incorrect. - **Part (f):** **Question:** What is the p-value? (Round your answer to four decimal places.) **Given Answer:** 0.0249 **Correction:** The answer chosen was marked incorrect. **Explanation of p-value choice:** - “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.” - This choice was marked correct. This setup engages students in the process of applying hypothesis testing, interpreting statistical results, and understanding the implications of p-values in testing the null hypothesis.
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