ANOVA Followup Sum of Squares df Mean Square Sig. Between Groups Within Groups T

Question

ANOVA Followup Sum of Squares df Mean Square Sig. Between Groups Within Groups Total 824.492 1492.375 2316.867 412.246 11.602 42 35.533 Post Hoc Tests Multiple Comparisons Dependent Variable: Followup Tukey HS Mean Difference (1- 95% Confidence Interval Std. Error Sig. Loe Bound Upper Bound 71 5.55 9.49 (D Exercise U) Exercise High 2.100 2.345 2.100 2.198 2.345 2.198 Moderate -4.390 104 9.49 Low -11.248 16.94 Moderate High 4.390 104 -6.858 11.248 6.858 12.20 5.55 1.52 Low 009 16.94 12.20 Low Moderate 009 . The mean difference is significant at the 0.05 level. Q4) What can you say about the groups one month after treatment (at followup)? 1

Explanation / Answer

From the output of second table:

the mean difference between High and Moderate is not significance because the significance value (or p- value) for this pair is 0.104 > 0.05 and so we fail to reject the null hypothesis for the pair High and Moderate

the mean difference between High and Low is significance because the significance value (or p- value) for this pair is 0.00 < 0.05 and so we reject the null hypothesis for the pair High and Low

the mean difference between Moderate and Low is significance because the significance value (or p- value) for this pair is 0.009 < 0.05 and so we reject the null hypothesis for the pair Moderate and Low

So there is no signifficance difference between High and Moderate.

Effect of Low treatment is more than effect of High treatment because confidence interval of

High - Low is ( -16.94, - 5.55) which does not include 0 and both the limits are less than 0.

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