A teacher would like to determine if quiz scores improve after completion of a worksheet. The students take a pre-quiz before the worksheet and then another quiz after the worksheet. Assume that the quiz scores are normally distributed. The grades for each quiz are given below. Use a significance level of a = 0.05. List 1 has the post-quiz scores. List 2 has the pre-quiz scores. The hypothesis test is to see if the Post-Quiz Scores are > the Pre-Quiz Scores So, Ho: Ha = 0 H1: µd > 0 post-quiz pre-quiz 11 14 11 17 18 20 15 14 13 15 14 13 9. 16 14 10 10 16 15 What is the test statistic? test statistic = (Report answer accurate to 3 decimal places.) What is the p-value for this sample? p-value = (Report answer accurate to 3 decimal places.) The correct decision is to Select an answer The correct summary would be: Select an answer did improve the average quiz scores. that the worksheet n mo Oo
A teacher would like to determine if quiz scores improve after completion of a worksheet. The students take a pre-quiz before the worksheet and then another quiz after the worksheet. Assume that the quiz scores are normally distributed. The grades for each quiz are given below. Use a significance level of a = 0.05. List 1 has the post-quiz scores. List 2 has the pre-quiz scores. The hypothesis test is to see if the Post-Quiz Scores are > the Pre-Quiz Scores So, Ho: Ha = 0 H1: µd > 0 post-quiz pre-quiz 11 14 11 17 18 20 15 14 13 15 14 13 9. 16 14 10 10 16 15 What is the test statistic? test statistic = (Report answer accurate to 3 decimal places.) What is the p-value for this sample? p-value = (Report answer accurate to 3 decimal places.) The correct decision is to Select an answer The correct summary would be: Select an answer did improve the average quiz scores. that the worksheet n mo Oo
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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![### Educational Exercise: Analyzing Quiz Score Improvement
#### Scenario
A teacher would like to determine if quiz scores improve after completion of a worksheet. The students take a pre-quiz before the worksheet and then another quiz after the worksheet. Assume that the quiz scores are normally distributed.
#### Given Data
The grades for each quiz are provided below:
- Use a significance level of \(\alpha = 0.05\).
- List 1 has the post-quiz scores.
- List 2 has the pre-quiz scores.
The hypothesis test is designed to see if the Post-Quiz Scores are greater than the Pre-Quiz Scores:
\[
H_0: \mu_d = 0
\]
\[
H_1: \mu_d > 0
\]
#### Data Table
| Post-Quiz | Pre-Quiz |
|-----------|----------|
| 9 | 11 |
| 14 | 11 |
| 17 | 18 |
| 20 | 15 |
| 14 | 13 |
| 15 | 14 |
| 13 | 9 |
| 16 | 14 |
| 10 | 10 |
| 16 | 15 |
#### Statistical Analysis
To determine if there is a significant increase in quiz scores, we perform the following calculations:
1. **Test Statistic Calculation**
- The test statistic is calculated from the given data.
- Report the test statistic accurate to three decimal places.
\[
\text{test statistic} = \underline{\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ }
\]
2. **P-value Calculation**
- The p-value is calculated based on the test statistic.
- Report the p-value accurate to three decimal places.
\[
\text{p-value} = \underline{\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ }
\]
3. **Decision Making**
- Based on the p-value and the significance level (\(\alpha = 0.05\)), make a decision.
- The decision should be either to Reject \(H_0\) or Fail to Reject \(H_0\).
\[
\text{The correct decision is to} \ \underline{\ \text{Select an](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa218d9b0-33cd-49fb-8966-615774819802%2F230f6460-987c-4367-b996-0cf538819a67%2Fulpv4bg_processed.png&w=3840&q=75)
Transcribed Image Text:### Educational Exercise: Analyzing Quiz Score Improvement
#### Scenario
A teacher would like to determine if quiz scores improve after completion of a worksheet. The students take a pre-quiz before the worksheet and then another quiz after the worksheet. Assume that the quiz scores are normally distributed.
#### Given Data
The grades for each quiz are provided below:
- Use a significance level of \(\alpha = 0.05\).
- List 1 has the post-quiz scores.
- List 2 has the pre-quiz scores.
The hypothesis test is designed to see if the Post-Quiz Scores are greater than the Pre-Quiz Scores:
\[
H_0: \mu_d = 0
\]
\[
H_1: \mu_d > 0
\]
#### Data Table
| Post-Quiz | Pre-Quiz |
|-----------|----------|
| 9 | 11 |
| 14 | 11 |
| 17 | 18 |
| 20 | 15 |
| 14 | 13 |
| 15 | 14 |
| 13 | 9 |
| 16 | 14 |
| 10 | 10 |
| 16 | 15 |
#### Statistical Analysis
To determine if there is a significant increase in quiz scores, we perform the following calculations:
1. **Test Statistic Calculation**
- The test statistic is calculated from the given data.
- Report the test statistic accurate to three decimal places.
\[
\text{test statistic} = \underline{\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ }
\]
2. **P-value Calculation**
- The p-value is calculated based on the test statistic.
- Report the p-value accurate to three decimal places.
\[
\text{p-value} = \underline{\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ }
\]
3. **Decision Making**
- Based on the p-value and the significance level (\(\alpha = 0.05\)), make a decision.
- The decision should be either to Reject \(H_0\) or Fail to Reject \(H_0\).
\[
\text{The correct decision is to} \ \underline{\ \text{Select an
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