Which of the following is consistent with what r represents as a measure of effect size? the portion of variability in a sample attributable to a treatment effect relative to the total variability in the sample the portion of variability in a sample attributable to a treatment effect after correcting for sample size the statistical significance of a treatment effect the statistical significance of a treatment effect correcting for the alpha level
Which of the following is consistent with what r represents as a measure of effect size? the portion of variability in a sample attributable to a treatment effect relative to the total variability in the sample the portion of variability in a sample attributable to a treatment effect after correcting for sample size the statistical significance of a treatment effect the statistical significance of a treatment effect correcting for the alpha level
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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Question
11
![The image displays a series of questions related to statistical analysis, likely for educational purposes.
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**Question 11:**
Which of the following is consistent with what \( r^2 \) represents as a measure of effect size?
- [X] The portion of variability in a sample attributable to a treatment effect relative to the total variability in the sample
- The portion of variability in a sample attributable to a treatment effect after correcting for sample size
- The statistical significance of a treatment effect
- The statistical significance of a treatment effect correcting for the alpha level
**Question 12:**
Which is a serious concern with a repeated-measures study?
- The results will be influenced by counterbalancing.
- The results will be influenced by order effects.
- The results will be influenced by individual differences rather than treatment differences.
- The results will be influenced by confounds introduced by researchers.
**Question 13:**
"When n is small (less than 30), how does the shape of the t distribution compare to the normal distribution?"
- It is almost perfectly symmetrical like the normal distribution.
- It is flatter and more spread out than the normal distribution.
- It is taller and narrower than the normal distribution.
- There is no consistent relationship between the t distribution and the normal distribution.
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These questions focus on understanding statistical measures and concerns in experimental designs, useful for students or researchers studying statistics or data analysis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F768cff42-4fc0-4de5-a163-cc0267ee5645%2Fe167b37a-2875-4c8c-bdae-8a2503a4a836%2Fdu3wvcd_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The image displays a series of questions related to statistical analysis, likely for educational purposes.
---
**Question 11:**
Which of the following is consistent with what \( r^2 \) represents as a measure of effect size?
- [X] The portion of variability in a sample attributable to a treatment effect relative to the total variability in the sample
- The portion of variability in a sample attributable to a treatment effect after correcting for sample size
- The statistical significance of a treatment effect
- The statistical significance of a treatment effect correcting for the alpha level
**Question 12:**
Which is a serious concern with a repeated-measures study?
- The results will be influenced by counterbalancing.
- The results will be influenced by order effects.
- The results will be influenced by individual differences rather than treatment differences.
- The results will be influenced by confounds introduced by researchers.
**Question 13:**
"When n is small (less than 30), how does the shape of the t distribution compare to the normal distribution?"
- It is almost perfectly symmetrical like the normal distribution.
- It is flatter and more spread out than the normal distribution.
- It is taller and narrower than the normal distribution.
- There is no consistent relationship between the t distribution and the normal distribution.
---
These questions focus on understanding statistical measures and concerns in experimental designs, useful for students or researchers studying statistics or data analysis.
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