Weinstein, McDermott, and Roediger (2010) report that students who were given questions to be answered while studying new material had better scores when tested on the material compared to students who were simply given an opportunity to reread the material. In a similar study, an instructor in a large psychology class gave one group of students questions to be answered while studying for the final exam. The overall average for the exam was u = 73.4, but the n = 16 students who answered questions had a mean of M = 78.3 with a standard deviation of s = 8.4. For this study, did answering questions while studying produce significantly higher exam scores? Use a one-tailed test with a = .01 and the Distributions tool to help. (Round your answers to three decimal places, when needed.)
Weinstein, McDermott, and Roediger (2010) report that students who were given questions to be answered while studying new material had better scores when tested on the material compared to students who were simply given an opportunity to reread the material. In a similar study, an instructor in a large psychology class gave one group of students questions to be answered while studying for the final exam. The overall average for the exam was u = 73.4, but the n = 16 students who answered questions had a mean of M = 78.3 with a standard deviation of s = 8.4. For this study, did answering questions while studying produce significantly higher exam scores? Use a one-tailed test with a = .01 and the Distributions tool to help. (Round your answers to three decimal places, when needed.)
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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![**10. Gravetter/Wallnau/Forzano, Essentials - Chapter 9 - End-of-chapter question 15**
Weinstein, McDermott, and Roediger (2010) report that students who were given questions to be answered while studying new material had better scores when tested on the material compared to students who were simply given an opportunity to reread the material. In a similar study, an instructor in a large psychology class gave one group of students questions to be answered while studying for the final exam. The overall average for the exam was μ = 73.4, but the n = 16 students who answered questions had a mean of M = 78.3 with a standard deviation of s = 8.4. For this study, did answering questions while studying produce significantly higher exam scores? Use a one-tailed test with α = .01 and the Distributions tool to help. (Round your answers to three decimal places, when needed.)
---
### Diagram: t Distribution
- **Degrees of Freedom**: 21
- **Graphical Representation**: The diagram displays a bell-shaped t-distribution curve, symmetric around a mean of 0. The x-axis ranges from -3.0 to 3.0. Shading indicates the distribution's spread.
—
### Calculation Fields
- \( S_M = \) [Input field]
- \( \text{t-critical} = \) [Input field]
- \( t = \) [Input field]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F06e12bd9-b9a9-4267-b432-cf4c8f08c3ae%2Fbc601ab1-ea43-4cf5-a5b0-90f6b5db52e1%2Flb55smf_processed.png&w=3840&q=75)
Transcribed Image Text:**10. Gravetter/Wallnau/Forzano, Essentials - Chapter 9 - End-of-chapter question 15**
Weinstein, McDermott, and Roediger (2010) report that students who were given questions to be answered while studying new material had better scores when tested on the material compared to students who were simply given an opportunity to reread the material. In a similar study, an instructor in a large psychology class gave one group of students questions to be answered while studying for the final exam. The overall average for the exam was μ = 73.4, but the n = 16 students who answered questions had a mean of M = 78.3 with a standard deviation of s = 8.4. For this study, did answering questions while studying produce significantly higher exam scores? Use a one-tailed test with α = .01 and the Distributions tool to help. (Round your answers to three decimal places, when needed.)
---
### Diagram: t Distribution
- **Degrees of Freedom**: 21
- **Graphical Representation**: The diagram displays a bell-shaped t-distribution curve, symmetric around a mean of 0. The x-axis ranges from -3.0 to 3.0. Shading indicates the distribution's spread.
—
### Calculation Fields
- \( S_M = \) [Input field]
- \( \text{t-critical} = \) [Input field]
- \( t = \) [Input field]
![**Educational Content: Analyzing Exam Performance through Hypothesis Testing**
In this exercise, we focus on testing the effects of answering questions while studying on exam performance. Below are fields to fill in necessary statistical values along with options to evaluate the results of the hypothesis test.
**Statistical Input Fields:**
- \( S_M = \) [Enter value]
- \( \text{t-critical} = \) [Enter value]
- \( t = \) [Enter value]
**Result Evaluation:**
Based on the data input, choose the correct conclusion:
1. \( \circ \) Failure to reject the null hypothesis; answering questions while studying did not produce significantly higher exam scores.
2. \( \circ \) Failure to reject the null hypothesis; answering questions while studying produces significantly different exam scores.
3. \( \circ \) Rejection of the null hypothesis; answering questions while studying did not produce significantly higher exam scores.
4. \( \circ \) Rejection of the null hypothesis; answering questions while studying produces significantly different exam scores.
This setup allows students to practice statistical analysis and hypothesis testing in the context of learning techniques and their effects on performance.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F06e12bd9-b9a9-4267-b432-cf4c8f08c3ae%2Fbc601ab1-ea43-4cf5-a5b0-90f6b5db52e1%2Fm5dhdgy_processed.png&w=3840&q=75)
Transcribed Image Text:**Educational Content: Analyzing Exam Performance through Hypothesis Testing**
In this exercise, we focus on testing the effects of answering questions while studying on exam performance. Below are fields to fill in necessary statistical values along with options to evaluate the results of the hypothesis test.
**Statistical Input Fields:**
- \( S_M = \) [Enter value]
- \( \text{t-critical} = \) [Enter value]
- \( t = \) [Enter value]
**Result Evaluation:**
Based on the data input, choose the correct conclusion:
1. \( \circ \) Failure to reject the null hypothesis; answering questions while studying did not produce significantly higher exam scores.
2. \( \circ \) Failure to reject the null hypothesis; answering questions while studying produces significantly different exam scores.
3. \( \circ \) Rejection of the null hypothesis; answering questions while studying did not produce significantly higher exam scores.
4. \( \circ \) Rejection of the null hypothesis; answering questions while studying produces significantly different exam scores.
This setup allows students to practice statistical analysis and hypothesis testing in the context of learning techniques and their effects on performance.
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