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B9. Post-Study Power Analyses Two-Sample Power Analysis on actual rates seen in this study Numeric Results for Two-Sample T-Test Null Hypothesis: Mean1=Mean2. Alternative Hypothesis: Mean1<>Mean2 The standard deviations were assumed to be unknown and unequal. 109 Power N1 N2 0.29383 17 17 0.41065 25 25 0.69707 50 50 0.94045 100 100 References Allocation Ratio Alpha 1.000 0.05000 1.000 0.05000 1.000 0.05000 1.000 0.05000 Beta Mean1 Mean2 S1 0.70617 0.040 0.039 0.002 0.58935 0.040 0.039 0.002 0.30293 0.040 0.039 0.002 0.05955 0.040 0.039 0.002 S2 0.002 0.002 0.002 0.002 Machin, D., Campbell, M., Fayers, P., and Pinol, A. 1997. Sample Size Tables for Clinical Studies, 2nd Edition. Blackwell Science. Malden, MA. Zar, Jerrold H. 1984. Biostatistical Analysis (Second Edition). Prentice-Hall. Englewood Cliffs, New Jersey. Report Definitions Power is the probability of rejecting a false null hypothesis. Power should be close to one. N1 and N2 are the number of items sampled from each population. To conserve resources, they should be small. Alpha is the probability of rejecting a true null hypothesis. It should be small. Beta is the probability of accepting a false null hypothesis. It should be small. Mean1 is the mean of populations 1 and 2 under the null hypothesis of equality. Mean2 is the mean of population 2 under the alternative hypothesis. The mean of population 1 is unchanged.PDF Image | Effect of LED Phototherapy on the Rate of Orthodontic Tooth Movement
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