Consider the following hypothesis test. Но: М1-M250 На: M1 - H2>0 The following results are for two independent samples taken from the two populations. Sample 1 Sample 2 n1 40 = n₂ = 50 = X₁ = 22.8 01 = 5.2 %₂ = 6 (a) What is the value of the test statistic? (Round your answer to two decimal places.) (b) What is the p-value? (Round your answer to four decimal places.) (c) With a = 0.05, what is your hypothesis testing conclusion? 25.7 x2 M1 - H2 >0. - Reject Ho. There is insufficient evidence to conclude that Do not reject Ho. There is insufficient evidence to conclude that μ₁ −µ₂ > 0. Do not Reject Ho. There is sufficient evidence to conclude that µ₁ − µ² > 0. Reject Ho. There is sufficient evidence to conclude that M1 M₂ > 0. (

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### Hypothesis Testing Scenario

Consider the following hypothesis test:

\[
H_0: \mu_1 - \mu_2 \le 0
\]
\[
H_a: \mu_1 - \mu_2 > 0
\]

The following results are for two independent samples taken from the two populations.

|           | Sample 1       | Sample 2       |
|-----------|-----------------|-----------------|
| \(n_1 = 40\) | \(n_2 = 50\)   |
| \(\bar{x}_1 = 25.7\) | \(\bar{x}_2 = 22.8\)   |
| \(\sigma_1 = 5.2\)   | \(\sigma_2 = 6\)     |

### Questions:

**(a)** What is the value of the test statistic? (Round your answer to two decimal places.)

**Answer:**  
\[ \boxed{} \]

**(b)** What is the \( p \)-value? (Round your answer to four decimal places.)

**Answer:**  
\[ \boxed{} \]

**(c)** With \(\alpha = 0.05\), what is your hypothesis testing conclusion?

- ⃝ Reject \( H_0 \). There is insufficient evidence to conclude that \(\mu_1 - \mu_2 > 0\).
- ⃝ Do not reject \( H_0 \). There is insufficient evidence to conclude that \(\mu_1 - \mu_2 > 0\).
- ⃝ Do not Reject \( H_0 \). There is sufficient evidence to conclude that \(\mu_1 - \mu_2 > 0\).
- ⃝ Reject \( H_0 \). There is sufficient evidence to conclude that \(\mu_1 - \mu_2 > 0\).

**Answer:**  
\[ \boxed{} \]
Transcribed Image Text:### Hypothesis Testing Scenario Consider the following hypothesis test: \[ H_0: \mu_1 - \mu_2 \le 0 \] \[ H_a: \mu_1 - \mu_2 > 0 \] The following results are for two independent samples taken from the two populations. | | Sample 1 | Sample 2 | |-----------|-----------------|-----------------| | \(n_1 = 40\) | \(n_2 = 50\) | | \(\bar{x}_1 = 25.7\) | \(\bar{x}_2 = 22.8\) | | \(\sigma_1 = 5.2\) | \(\sigma_2 = 6\) | ### Questions: **(a)** What is the value of the test statistic? (Round your answer to two decimal places.) **Answer:** \[ \boxed{} \] **(b)** What is the \( p \)-value? (Round your answer to four decimal places.) **Answer:** \[ \boxed{} \] **(c)** With \(\alpha = 0.05\), what is your hypothesis testing conclusion? - ⃝ Reject \( H_0 \). There is insufficient evidence to conclude that \(\mu_1 - \mu_2 > 0\). - ⃝ Do not reject \( H_0 \). There is insufficient evidence to conclude that \(\mu_1 - \mu_2 > 0\). - ⃝ Do not Reject \( H_0 \). There is sufficient evidence to conclude that \(\mu_1 - \mu_2 > 0\). - ⃝ Reject \( H_0 \). There is sufficient evidence to conclude that \(\mu_1 - \mu_2 > 0\). **Answer:** \[ \boxed{} \]
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