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.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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