State the null and alternative hypotheses used to test for a difference in the two population means. O Ho: (H, - H2) = 0 versus H,: (Hq - H2) < 0 O Ho: (H, - H2) < o versus H,: (Hy - H2) > 0 O Ho: (H, - H2) = 0 versus H,: (H - H2) # 0 O Ho: (H, - H2) = 0 versus H,: (Hq - H2) > 0 O Ho: (H, - H2) * 0 versus H,: (Hq – H2) = 0 Calculate the necessary test statistic. (Round your answer to two decimal places.) z = Calculate the rejection region with a = 0.01. (Round your answers to two decimal places. If the test is one-tailed, enter NONE for the unused region.) Draw the appropriate conclusion.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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**Independent Random Samples from Two Quantitative Populations**

**Sample Data**

|                 | Population 1 | Population 2 |
|-----------------|--------------|--------------|
| Sample Size     | 32           | 41           |
| Sample Mean     | 9.8          | 7.5          |
| Sample Variance | 10.73        | 16.39        |

**Hypothesis Testing for Differences in Population Means**

State the null and alternative hypotheses:

1. \( H_0: (\mu_1 - \mu_2) = 0 \) versus \( H_a: (\mu_1 - \mu_2) < 0 \)
2. \( H_0: (\mu_1 - \mu_2) < 0 \) versus \( H_a: (\mu_1 - \mu_2) \geq 0 \)
3. \( H_0: (\mu_1 - \mu_2) = 0 \) versus \( H_a: (\mu_1 - \mu_2) \neq 0 \)
4. \( H_0: (\mu_1 - \mu_2) = 0 \) versus \( H_a: (\mu_1 - \mu_2) > 0 \)
5. \( H_0: (\mu_1 - \mu_2) \neq 0 \) versus \( H_a: (\mu_1 - \mu_2) = 0 \)

**Test Statistic Calculation**

Calculate the test statistic (z-value), rounded to two decimal places:

\[ z = \text{______} \]

**Rejection Region Calculation**

Calculate the rejection region with \( \alpha = 0.01 \):

- \( z \geq \text{______} \)
- \( z < \text{______} \)

**Conclusion**

Draw the appropriate conclusion based on the hypothesis test:

- \( H_0 \) is rejected. There is sufficient evidence to indicate a difference in mean.
- \( H_0 \) is not rejected. There is insufficient evidence to indicate a difference in mean.
- \( H_0 \) is not rejected. There is sufficient evidence to indicate a difference in mean.
- \( H_0 \) is rejected. There is insufficient evidence to indicate a difference in mean.

This exercise outlines the process of setting up and performing a hypothesis test for differences between
Transcribed Image Text:**Independent Random Samples from Two Quantitative Populations** **Sample Data** | | Population 1 | Population 2 | |-----------------|--------------|--------------| | Sample Size | 32 | 41 | | Sample Mean | 9.8 | 7.5 | | Sample Variance | 10.73 | 16.39 | **Hypothesis Testing for Differences in Population Means** State the null and alternative hypotheses: 1. \( H_0: (\mu_1 - \mu_2) = 0 \) versus \( H_a: (\mu_1 - \mu_2) < 0 \) 2. \( H_0: (\mu_1 - \mu_2) < 0 \) versus \( H_a: (\mu_1 - \mu_2) \geq 0 \) 3. \( H_0: (\mu_1 - \mu_2) = 0 \) versus \( H_a: (\mu_1 - \mu_2) \neq 0 \) 4. \( H_0: (\mu_1 - \mu_2) = 0 \) versus \( H_a: (\mu_1 - \mu_2) > 0 \) 5. \( H_0: (\mu_1 - \mu_2) \neq 0 \) versus \( H_a: (\mu_1 - \mu_2) = 0 \) **Test Statistic Calculation** Calculate the test statistic (z-value), rounded to two decimal places: \[ z = \text{______} \] **Rejection Region Calculation** Calculate the rejection region with \( \alpha = 0.01 \): - \( z \geq \text{______} \) - \( z < \text{______} \) **Conclusion** Draw the appropriate conclusion based on the hypothesis test: - \( H_0 \) is rejected. There is sufficient evidence to indicate a difference in mean. - \( H_0 \) is not rejected. There is insufficient evidence to indicate a difference in mean. - \( H_0 \) is not rejected. There is sufficient evidence to indicate a difference in mean. - \( H_0 \) is rejected. There is insufficient evidence to indicate a difference in mean. This exercise outlines the process of setting up and performing a hypothesis test for differences between
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