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The following data summarize the results from an independent-measures study comparing three treatment conditions. I II III n =10 n =10 n =10 s2 = 2.67 s2 = 2.00 s2 = 1.33 M =2 M =3 M =4 T = 20 T = 30 T = 40 Q.3.1. Use an ANOVA with α =.05 to determine whether there are any significant mean differences among the three means. (show your working). Hint: because the samples are all the same size, MSwihin is the average of the three sample variances.

The following data summarize the results from an independent-measures study comparing three treatment conditions. I II III n =10 n =10 n =10 s2 = 2.67 s2 = 2.00 s2 = 1.33 M =2 M =3 M =4 T = 20 T = 30 T = 40 Q.3.1. Use an ANOVA with α =.05 to determine whether there are any significant mean differences among the three means. (show your working). Hint: because the samples are all the same size, MSwihin is the average of the three sample variances.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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The following data summarize the results from an independent-measures study comparing three treatment conditions.

I II III

n =10 n =10 n =10 s2 = 2.67 s2 = 2.00 s2 = 1.33

M =2

M =3

M =4

T = 20

T = 30

T = 40

Q.3.1.

Use an ANOVA with α =.05 to determine whether there are any significant mean differences among the three means. (show your working).

Hint: because the samples are all the same size, MSwihin is the average of the three sample variances.

  
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