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. (
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. (
MATLAB: An Introduction with Applications
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![### 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:**
\[ \boxed{} \]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F98fd5880-bd7f-4b90-9f43-35abbd9a1544%2Fa566446b-2a22-4aa7-bd64-d30803ad8934%2Fjzuqjp_processed.png&w=3840&q=75)
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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