An online math tutor service would like to claim that the average time spent taking a standardized test after students go through tutoring is less than the average time spent before going through tutoring. A simple random sample of students takes a pre-test, then goes through tutoring and takes a post-test. Results of the sample are shown below. What are the population parameters? Mean Variance Before After 79.278 75.556 126.448 125.203 18 0.521 Observations 18 Pick Pearson Correlation Hypothesized Mean Difference 0 Is the two-sample hypothesis test a paired t-test or an unpaired t-test? df 17 t Stat -1.438 P(T
An online math tutor service would like to claim that the average time spent taking a standardized test after students go through tutoring is less than the average time spent before going through tutoring. A simple random sample of students takes a pre-test, then goes through tutoring and takes a post-test. Results of the sample are shown below. What are the population parameters? Mean Variance Before After 79.278 75.556 126.448 125.203 18 0.521 Observations 18 Pick Pearson Correlation Hypothesized Mean Difference 0 Is the two-sample hypothesis test a paired t-test or an unpaired t-test? df 17 t Stat -1.438 P(T
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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![### Hypothesis Tests for the Difference Between Two Population Means
An online math tutor service would like to claim that the average time spent taking a standardized test after students go through tutoring is less than the average time spent before going through tutoring. A simple random sample of students takes a pre-test, then goes through tutoring, and takes a post-test. Results of the sample are shown below.
| | Before | After |
|-----------------|-----------|-----------|
| Mean | 79.278 | 75.556 |
| Variance | 126.448 | 755.203 |
| Observations | 18 | 18 |
| Pearson Correlation | 0.521 | |
| Hypothesized Mean Difference | | 0 |
| df | | 17 |
| t Stat | | 1.438 |
| P(T<=t) one-tail| | 0.084 |
| t Critical one-tail | | 1.740 |
| P(T<=t) two-tail| | 0.169 |
| t Critical two-tail | | 2.110 |
| Confidence Level| | 95% |
### Key Questions:
1. **What are the population parameters?**
2. **Is the two-sample hypothesis test a paired \( t \)-test or an unpaired \( t \)-test?**
3. **What is the level of significance?** (Example: 0.12)
4. **What is the null hypothesis \( H_0 \)?**
5. **What is the alternative hypothesis \( H_a \)?**
6. **Should \( H_0 \) be rejected or does \( H_0 \) fail to be rejected?**
7. **What conclusion can be drawn from the data?**
### Possible Answers:
1. **Population Parameters: Select from the drop-down menu.**
2. **Type of \( t \)-test: Select either paired or unpaired from the drop-down menu.**
3. **Level of Significance: Input the value (Example: 0.12).**
4. **Null Hypothesis \( H_0 \)**
- [Select option]
5. **Alternative Hypothesis \( H_a \)**
- [Select option]
6. **Decision on \( H_0 \)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F27d96fb9-96d5-477b-b416-22e1c389b55a%2Fcf46833a-c47e-4283-a9ef-46aff3230e12%2F8kgb3jgl_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Hypothesis Tests for the Difference Between Two Population Means
An online math tutor service would like to claim that the average time spent taking a standardized test after students go through tutoring is less than the average time spent before going through tutoring. A simple random sample of students takes a pre-test, then goes through tutoring, and takes a post-test. Results of the sample are shown below.
| | Before | After |
|-----------------|-----------|-----------|
| Mean | 79.278 | 75.556 |
| Variance | 126.448 | 755.203 |
| Observations | 18 | 18 |
| Pearson Correlation | 0.521 | |
| Hypothesized Mean Difference | | 0 |
| df | | 17 |
| t Stat | | 1.438 |
| P(T<=t) one-tail| | 0.084 |
| t Critical one-tail | | 1.740 |
| P(T<=t) two-tail| | 0.169 |
| t Critical two-tail | | 2.110 |
| Confidence Level| | 95% |
### Key Questions:
1. **What are the population parameters?**
2. **Is the two-sample hypothesis test a paired \( t \)-test or an unpaired \( t \)-test?**
3. **What is the level of significance?** (Example: 0.12)
4. **What is the null hypothesis \( H_0 \)?**
5. **What is the alternative hypothesis \( H_a \)?**
6. **Should \( H_0 \) be rejected or does \( H_0 \) fail to be rejected?**
7. **What conclusion can be drawn from the data?**
### Possible Answers:
1. **Population Parameters: Select from the drop-down menu.**
2. **Type of \( t \)-test: Select either paired or unpaired from the drop-down menu.**
3. **Level of Significance: Input the value (Example: 0.12).**
4. **Null Hypothesis \( H_0 \)**
- [Select option]
5. **Alternative Hypothesis \( H_a \)**
- [Select option]
6. **Decision on \( H_0 \)
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