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20. The following data summarize the results from an independent-measures study comparing three treat- ment conditions. M = 2 M = 3 M = 4 n = 10 n = 10 n = 10 T = 30 T = 20 T = 40 s2 = 2.67 s2 = 1.33 s? = 2.00 a. Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means. Note: Because the samples are all the same size, MS average of the three sample variances. b. Calculate n? to measure the effect size for this study. is the within 18. The following data were obtained from an inde- pendent-measures study comparing three treatment conditions. Treatment II II 3 8. N = 12 G = 48 EX = 238 3 6. 4 6. M = 4 M = 2 M = 6 T = 8 T = 24 T = 16 SS = 2 SS = 8 SS = 4 21 a. Calculate the sample variance for each of the three samples. b. Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means.

20. The following data summarize the results from an independent-measures study comparing three treat- ment conditions. M = 2 M = 3 M = 4 n = 10 n = 10 n = 10 T = 30 T = 20 T = 40 s2 = 2.67 s2 = 1.33 s? = 2.00 a. Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means. Note: Because the samples are all the same size, MS average of the three sample variances. b. Calculate n? to measure the effect size for this study. is the within 18. The following data were obtained from an inde- pendent-measures study comparing three treatment conditions. Treatment II II 3 8. N = 12 G = 48 EX = 238 3 6. 4 6. M = 4 M = 2 M = 6 T = 8 T = 24 T = 16 SS = 2 SS = 8 SS = 4 21 a. Calculate the sample variance for each of the three samples. b. Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means.

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
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20. The following data summarize the results from an independent-measures study comparing three treat- ment conditions. M = 2 M = 3 M = 4 n = 10 n = 10 n = 10 T = 30 T = 20 T = 40 s2 = 2.67 s2 = 1.33 s? = 2.00 a. Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means. Note: Because the samples are all the same size, MS average of the three sample variances. b. Calculate n? to measure the effect size for this study. is the within
Transcribed Image Text:20. The following data summarize the results from an independent-measures study comparing three treat- ment conditions. M = 2 M = 3 M = 4 n = 10 n = 10 n = 10 T = 30 T = 20 T = 40 s2 = 2.67 s2 = 1.33 s? = 2.00 a. Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means. Note: Because the samples are all the same size, MS average of the three sample variances. b. Calculate n? to measure the effect size for this study. is the within
18. The following data were obtained from an inde- pendent-measures study comparing three treatment conditions. Treatment II II 3 8. N = 12 G = 48 EX = 238 3 6. 4 6. M = 4 M = 2 M = 6 T = 8 T = 24 T = 16 SS = 2 SS = 8 SS = 4 21 a. Calculate the sample variance for each of the three samples. b. Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means.
Transcribed Image Text:18. The following data were obtained from an inde- pendent-measures study comparing three treatment conditions. Treatment II II 3 8. N = 12 G = 48 EX = 238 3 6. 4 6. M = 4 M = 2 M = 6 T = 8 T = 24 T = 16 SS = 2 SS = 8 SS = 4 21 a. Calculate the sample variance for each of the three samples. b. Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means.
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