Identify the null and alternative hypotheses Identify the test statistic Identify the P-value Identify the conclusion about the null hypothesis
Identify the null and alternative hypotheses Identify the test statistic Identify the P-value Identify the conclusion about the null hypothesis
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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Topic Video
Question
Identify the null and alternative hypotheses
Identify the test statistic
Identify the P-value
Identify the conclusion about the null hypothesis
![### Analysis of Proctored vs Nonproctored Tests
In the study conducted on proctored and nonproctored tests, the results are summarized in the table below. The assumption is that the two samples are independent simple random samples taken from normally distributed populations. It is also assumed that the population standard deviations (σ) are not equal. We will use a significance level of 0.05 to test the hypothesis that students taking nonproctored tests achieve a higher mean score compared to those taking proctored tests.
#### Data Summary:
| | Proctored | Nonproctored |
|--------------------|--------------------|-------------------|
| Population Mean (μ)| μ₁ | μ₂ |
| Sample Size (n) | 33 | 34 |
| Sample Mean | 78.69 | 86.78 |
| Sample Standard Deviation (s) | 11.24 | 20.49 |
#### Null and Alternative Hypotheses:
Select the appropriate null (H₀) and alternative (H₁) hypotheses from the options provided:
1. \( H_0: \mu_1 = \mu_2 \)\( H_1: \mu_1 \neq \mu_2 \)
2. \( H_0: \mu_1 \leq \mu_2 \)\( H_1: \mu_1 = \mu_2 \)
3. \( H_0: \mu_1 = \mu_2 \)\( H_1: \mu_1 \leq \mu_2 \)
4. \( H_0: \mu_1 = \mu_2 \) (highlighted selection)\( H_1: \mu_1 < \mu_2 \)
5. \( H_0: \mu_1 = \mu_2 \)\( H_1: \mu_1 > \mu_2 \)
From the information given and the selection made, the correct null and alternative hypotheses usually selected is:
- Null Hypothesis \( H_0: \mu_1 = \mu_2 \)
- Alternative Hypothesis \( H_1: \mu_2 > \μ_1 \)
This test will help determine if there is a statistically significant difference in the mean test scores between students who took proctored versus](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb5f063df-177a-4dd3-b530-509ae96cf879%2F38db5b55-b056-45ff-b83a-f873aeeec7c3%2Fpmg6hu_processed.png&w=3840&q=75)
Transcribed Image Text:### Analysis of Proctored vs Nonproctored Tests
In the study conducted on proctored and nonproctored tests, the results are summarized in the table below. The assumption is that the two samples are independent simple random samples taken from normally distributed populations. It is also assumed that the population standard deviations (σ) are not equal. We will use a significance level of 0.05 to test the hypothesis that students taking nonproctored tests achieve a higher mean score compared to those taking proctored tests.
#### Data Summary:
| | Proctored | Nonproctored |
|--------------------|--------------------|-------------------|
| Population Mean (μ)| μ₁ | μ₂ |
| Sample Size (n) | 33 | 34 |
| Sample Mean | 78.69 | 86.78 |
| Sample Standard Deviation (s) | 11.24 | 20.49 |
#### Null and Alternative Hypotheses:
Select the appropriate null (H₀) and alternative (H₁) hypotheses from the options provided:
1. \( H_0: \mu_1 = \mu_2 \)\( H_1: \mu_1 \neq \mu_2 \)
2. \( H_0: \mu_1 \leq \mu_2 \)\( H_1: \mu_1 = \mu_2 \)
3. \( H_0: \mu_1 = \mu_2 \)\( H_1: \mu_1 \leq \mu_2 \)
4. \( H_0: \mu_1 = \mu_2 \) (highlighted selection)\( H_1: \mu_1 < \mu_2 \)
5. \( H_0: \mu_1 = \mu_2 \)\( H_1: \mu_1 > \mu_2 \)
From the information given and the selection made, the correct null and alternative hypotheses usually selected is:
- Null Hypothesis \( H_0: \mu_1 = \mu_2 \)
- Alternative Hypothesis \( H_1: \mu_2 > \μ_1 \)
This test will help determine if there is a statistically significant difference in the mean test scores between students who took proctored versus
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