A teacher wants to determine whether his students have mastered the material in their literature unit. Each student completes a pretest before beginning the unit and a posttest at the end of the unit. The results are in the table. Student Pretest Posttest 1 2 www 3 ww 5 NE H OKO ON 92 81 73 75 70 80 88 96 85 72 3 92 Difference (Posttest - Pretest) 4 -1 The teacher's null hypothesis is that H, 4, = 0, while his alternative hypothesis is 4₂ > 0: Rased on the data in the table and using a significance level of 0.05. what is the correct P
A teacher wants to determine whether his students have mastered the material in their literature unit. Each student completes a pretest before beginning the unit and a posttest at the end of the unit. The results are in the table. Student Pretest Posttest 1 2 www 3 ww 5 NE H OKO ON 92 81 73 75 70 80 88 96 85 72 3 92 Difference (Posttest - Pretest) 4 -1 The teacher's null hypothesis is that H, 4, = 0, while his alternative hypothesis is 4₂ > 0: Rased on the data in the table and using a significance level of 0.05. what is the correct P
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Problem 1P
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A teacher wants to determine
![### Mastery of Literature Unit Assessment
A teacher wants to determine whether his students have mastered the material in their literature unit. Each student completes a pretest before beginning the unit and a posttest at the end of the unit. The results are in the table below:
| Student | Pretest | Posttest | Difference (Posttest – Pretest) |
|---------|---------|----------|---------------------------------|
| 1 | 92 | 96 | 4 |
| 2 | 81 | 85 | 4 |
| 3 | 73 | 72 | -1 |
| 4 | 80 | 82 | 2 |
| 5 | 75 | 80 | 5 |
| 6 | 70 | 77 | 7 |
| 7 | 80 | 78 | -2 |
| 8 | 88 | 92 | 4 |
| 9 | 82 | 89 | 7 |
| 10 | 78 | 78 | 0 |
The teacher's null hypothesis is \( H_0: \mu_D = 0 \), while his alternative hypothesis is \( \mu_D > 0 \).
Based on the data in the table and using a significance level of 0.05, the task is to determine the correct conclusion.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb110eb8f-4fb9-48d9-850b-21a2715c850e%2F1e5b6748-0e24-4cf0-8f6a-f157d088a12e%2F5s48tou_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Mastery of Literature Unit Assessment
A teacher wants to determine whether his students have mastered the material in their literature unit. Each student completes a pretest before beginning the unit and a posttest at the end of the unit. The results are in the table below:
| Student | Pretest | Posttest | Difference (Posttest – Pretest) |
|---------|---------|----------|---------------------------------|
| 1 | 92 | 96 | 4 |
| 2 | 81 | 85 | 4 |
| 3 | 73 | 72 | -1 |
| 4 | 80 | 82 | 2 |
| 5 | 75 | 80 | 5 |
| 6 | 70 | 77 | 7 |
| 7 | 80 | 78 | -2 |
| 8 | 88 | 92 | 4 |
| 9 | 82 | 89 | 7 |
| 10 | 78 | 78 | 0 |
The teacher's null hypothesis is \( H_0: \mu_D = 0 \), while his alternative hypothesis is \( \mu_D > 0 \).
Based on the data in the table and using a significance level of 0.05, the task is to determine the correct conclusion.
![### Hypothesis Testing Example
Below is a table with data regarding two sets of scores:
| Unit | Score 1 | Score 2 | Difference |
|-------|---------|---------|------------|
| 4 | 80 | 82 | 2 |
| 5 | 75 | 80 | 5 |
| 6 | 70 | 77 | 7 |
| 7 | 80 | 78 | -2 |
| 8 | 88 | 92 | 4 |
| 9 | 82 | 89 | 7 |
| 10 | 78 | 78 | 0 |
**Hypotheses:**
- Null Hypothesis (\(H_0\)): \(\mu_D = 0\)
- Alternative Hypothesis (\(H_a\)): \(\mu_D > 0\)
**Significance Level:**
- \( \alpha = 0.05 \)
**Question:**
Based on the data in the table and using a significance level of 0.05, what is the correct P-value and conclusion?
**Options:**
1. P-value of 0.007478, he must reject the null hypothesis.
2. P-value of 0.005487, he must fail to reject the null hypothesis.
3. P-value of 0.096644, he must reject the null hypothesis.
4. P-value of 0.016644, he must fail to reject the null hypothesis.
Analyze the data and use statistical methods to determine the appropriate P-value and conclusion regarding the null hypothesis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb110eb8f-4fb9-48d9-850b-21a2715c850e%2F1e5b6748-0e24-4cf0-8f6a-f157d088a12e%2Fpugt9oe_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Hypothesis Testing Example
Below is a table with data regarding two sets of scores:
| Unit | Score 1 | Score 2 | Difference |
|-------|---------|---------|------------|
| 4 | 80 | 82 | 2 |
| 5 | 75 | 80 | 5 |
| 6 | 70 | 77 | 7 |
| 7 | 80 | 78 | -2 |
| 8 | 88 | 92 | 4 |
| 9 | 82 | 89 | 7 |
| 10 | 78 | 78 | 0 |
**Hypotheses:**
- Null Hypothesis (\(H_0\)): \(\mu_D = 0\)
- Alternative Hypothesis (\(H_a\)): \(\mu_D > 0\)
**Significance Level:**
- \( \alpha = 0.05 \)
**Question:**
Based on the data in the table and using a significance level of 0.05, what is the correct P-value and conclusion?
**Options:**
1. P-value of 0.007478, he must reject the null hypothesis.
2. P-value of 0.005487, he must fail to reject the null hypothesis.
3. P-value of 0.096644, he must reject the null hypothesis.
4. P-value of 0.016644, he must fail to reject the null hypothesis.
Analyze the data and use statistical methods to determine the appropriate P-value and conclusion regarding the null hypothesis.
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