**Advantages of Repeated-Measures Design**One of the advantages of a repeated-measures design is that it removes individual differences from the error variance and increases the likelihood of rejecting the null hypothesis. The following data were obtained from a research study comparing three treatment conditions:- **Treatment I:** - Data: 6, 5, 1, 0 - Total (\( T \)): 12 - Sum of Squares (\( SS \)): 26- **Treatment II:** - Data: 8, 5, 2, 1 - Total (\( T \)): 16 - Sum of Squares (\( SS \)): 30- **Treatment III:** - Data: 10, 5, 3, 3 - Total (\( T \)): 20 - Sum of Squares (\( SS \)): 38**Overall Calculations:**- Grand Total (\( G \)): 48- Sum of Squares Total (\( \Sigma X^2 \)): 294**Instructions:**a. Assume that the data are from an independent-measures study using three separate samples, each with \( n = 4 \) participants, and use an independent-measures ANOVA with \( \alpha = .05 \) to test for significant differences among the three treatments.

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Description: **Advantages of Repeated-Measures Design**One of the advantages of a repeated-measures design is that it removes individual differences from the error variance and increases the likelihood of rejecting the null hypothesis. The following data were ob

Given : We have given that three independent treatments with n=4 participants .The grand total= 48…

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a. Assume that the data are from an independent- measures study using three separate samples, each with n 4participants, and use an independent- measures ANOVA with a = .0Ro test for significant differences among the three treatments.

a. Assume that the data are from an independent- measures study using three separate samples, each with n 4participants, and use an independent- measures ANOVA with a = .0Ro test for significant differences among the three treatments.

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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