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### Data Analysis of Variance The following matrix presents mean scores (M) for an experimental study involving two factors: gender and treatment condition. | | No Treatment | Treatment | Overall | |-----------------|--------------|-----------|---------| | **Male** | M = 8 | M = 14 | M = 11 | | **Female** | M = 4 | M = 10 | M = 7 | | **Overall** | M = 6 | M = 12 | | The table shows mean scores for males and females under two conditions: receiving no treatment and receiving treatment. Overall means for gender and treatment conditions are also provided. #### Questions: a. **Which two means are compared to describe the treatment main effect?** b. **Which two means are compared to describe the gender main effect?** c. **Is there an interaction between gender and treatment? Explain your answer.** This data can be used to understand how treatment and gender independently and interactively impact the outcomes observed.

### Data Analysis of Variance The following matrix presents mean scores (M) for an experimental study involving two factors: gender and treatment condition. | | No Treatment | Treatment | Overall | |-----------------|--------------|-----------|---------| | **Male** | M = 8 | M = 14 | M = 11 | | **Female** | M = 4 | M = 10 | M = 7 | | **Overall** | M = 6 | M = 12 | | The table shows mean scores for males and females under two conditions: receiving no treatment and receiving treatment. Overall means for gender and treatment conditions are also provided. #### Questions: a. **Which two means are compared to describe the treatment main effect?** b. **Which two means are compared to describe the gender main effect?** c. **Is there an interaction between gender and treatment? Explain your answer.** This data can be used to understand how treatment and gender independently and interactively impact the outcomes observed.

MATLAB: An Introduction with Applications
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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### Data Analysis of Variance The following matrix presents mean scores (M) for an experimental study involving two factors: gender and treatment condition. | | No Treatment | Treatment | Overall | |-----------------|--------------|-----------|---------| | **Male** | M = 8 | M = 14 | M = 11 | | **Female** | M = 4 | M = 10 | M = 7 | | **Overall** | M = 6 | M = 12 | | The table shows mean scores for males and females under two conditions: receiving no treatment and receiving treatment. Overall means for gender and treatment conditions are also provided. #### Questions: a. **Which two means are compared to describe the treatment main effect?** b. **Which two means are compared to describe the gender main effect?** c. **Is there an interaction between gender and treatment? Explain your answer.** This data can be used to understand how treatment and gender independently and interactively impact the outcomes observed.
Transcribed Image Text:### Data Analysis of Variance The following matrix presents mean scores (M) for an experimental study involving two factors: gender and treatment condition. | | No Treatment | Treatment | Overall | |-----------------|--------------|-----------|---------| | **Male** | M = 8 | M = 14 | M = 11 | | **Female** | M = 4 | M = 10 | M = 7 | | **Overall** | M = 6 | M = 12 | | The table shows mean scores for males and females under two conditions: receiving no treatment and receiving treatment. Overall means for gender and treatment conditions are also provided. #### Questions: a. **Which two means are compared to describe the treatment main effect?** b. **Which two means are compared to describe the gender main effect?** c. **Is there an interaction between gender and treatment? Explain your answer.** This data can be used to understand how treatment and gender independently and interactively impact the outcomes observed.
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