Sure, here's a transcription suitable for an educational website: --- **Hypothesis Testing: Comparing Two Means** **Problem Statement:** 5. Test the claim that \(\mu_1 = \mu_2\). Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that the variances are unknown with \(\sigma_1^2 \neq \sigma_2^2\). **Hypotheses:** - \(H_0: \mu_1 = \mu_2\) (Claim) - \(H_a: \mu_1 \neq \mu_2\) **Sample Data:** \[ \begin{array}{|c|c|c|} \hline & \text{Sample 1} & \text{Sample 2} \\ \hline n_1 = 37 & n_2 = 25 \\ \overline{x}_1 = 37.9 & \overline{x}_2 = 36.8 \\ s_1 = 1.5 & s_2 = 1.9 \\ \hline \end{array} \] Find the test statistic and critical values of the rejection region to help you make a conclusion. At \(\alpha = 0.05\), the claim \(H_0\) is: A. Not rejected because the test statistic 2.428 is not in the rejection region with critical values \(\pm2.0639\) B. Rejected because the test statistic 2.428 is in the rejection region with critical values \(\pm1.7109\) C. Rejected because the test statistic 2.542 is in the rejection region with critical values \(\pm1.7109\) D. Not rejected because the test statistic \(-2.542\) is not in the rejection region with critical values \(\pm1.7109\) E. Rejected because the test statistic 2.428 is in the rejection region with critical values \(\pm2.0639\) --- **Explanation of the Problem:** The question asks you to perform hypothesis testing to determine if there is a significant difference between the means of two independent samples. The variances are unknown and assumed to be unequal. You are given sample sizes, means, and standard deviations for both samples. Your task

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---

**Hypothesis Testing: Comparing Two Means**

**Problem Statement:**

5. Test the claim that \(\mu_1 = \mu_2\). Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that the variances are unknown with \(\sigma_1^2 \neq \sigma_2^2\).

**Hypotheses:**

- \(H_0: \mu_1 = \mu_2\) (Claim)
- \(H_a: \mu_1 \neq \mu_2\)

**Sample Data:**

\[
\begin{array}{|c|c|c|}
\hline
 & \text{Sample 1} & \text{Sample 2} \\
\hline
n_1 = 37 & n_2 = 25 \\
\overline{x}_1 = 37.9 & \overline{x}_2 = 36.8 \\
s_1 = 1.5 & s_2 = 1.9 \\
\hline
\end{array}
\]

Find the test statistic and critical values of the rejection region to help you make a conclusion.  
At \(\alpha = 0.05\), the claim \(H_0\) is:

A. Not rejected because the test statistic 2.428 is not in the rejection region with critical values \(\pm2.0639\)

B. Rejected because the test statistic 2.428 is in the rejection region with critical values \(\pm1.7109\)

C. Rejected because the test statistic 2.542 is in the rejection region with critical values \(\pm1.7109\)

D. Not rejected because the test statistic \(-2.542\) is not in the rejection region with critical values \(\pm1.7109\)

E. Rejected because the test statistic 2.428 is in the rejection region with critical values \(\pm2.0639\)

---

**Explanation of the Problem:**

The question asks you to perform hypothesis testing to determine if there is a significant difference between the means of two independent samples. The variances are unknown and assumed to be unequal. You are given sample sizes, means, and standard deviations for both samples. Your task
Transcribed Image Text:Sure, here's a transcription suitable for an educational website: --- **Hypothesis Testing: Comparing Two Means** **Problem Statement:** 5. Test the claim that \(\mu_1 = \mu_2\). Two samples are random, independent, and come from populations that are normally distributed. The sample statistics are given below. Assume that the variances are unknown with \(\sigma_1^2 \neq \sigma_2^2\). **Hypotheses:** - \(H_0: \mu_1 = \mu_2\) (Claim) - \(H_a: \mu_1 \neq \mu_2\) **Sample Data:** \[ \begin{array}{|c|c|c|} \hline & \text{Sample 1} & \text{Sample 2} \\ \hline n_1 = 37 & n_2 = 25 \\ \overline{x}_1 = 37.9 & \overline{x}_2 = 36.8 \\ s_1 = 1.5 & s_2 = 1.9 \\ \hline \end{array} \] Find the test statistic and critical values of the rejection region to help you make a conclusion. At \(\alpha = 0.05\), the claim \(H_0\) is: A. Not rejected because the test statistic 2.428 is not in the rejection region with critical values \(\pm2.0639\) B. Rejected because the test statistic 2.428 is in the rejection region with critical values \(\pm1.7109\) C. Rejected because the test statistic 2.542 is in the rejection region with critical values \(\pm1.7109\) D. Not rejected because the test statistic \(-2.542\) is not in the rejection region with critical values \(\pm1.7109\) E. Rejected because the test statistic 2.428 is in the rejection region with critical values \(\pm2.0639\) --- **Explanation of the Problem:** The question asks you to perform hypothesis testing to determine if there is a significant difference between the means of two independent samples. The variances are unknown and assumed to be unequal. You are given sample sizes, means, and standard deviations for both samples. Your task
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Given Data :

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Null and Alternate Hypothesis :

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Population variances are unequal

 

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