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print friendly   Averages, One Sample  |  Averages, Two Samples  |  Percentages, One Sample  |  Percentages, Two Samples Two Sample Tests Using Percentage Values One-Tail Test (Hypothesis that Sample 1's Percentage is greater than Sample 2's value or Sample 1's Percentage is less than Sample 2's value, but not both) Two-Tail Test (Hypothesis that Sample 1's Percentage is not equal to Sample 2's Percentage value) To calculate the minimum possible statistical power, set one percentage value to 50% which produces the largest possible variance (also known as the "Most Pessimistic Variance Assumption"). Sample 1 Percentage (%):  (Value measured from Sample 1 or expected from this sample) Sample 2 Percentage (%):  (Value measured from Sample 2 or expected from this sample) Size of Sample 1:  (Size of Sample 1 or desired number of respondents) Size of Sample 2:  (Size of Sample 2 or desired number of respondents) Alpha Error Level or Confidence Level:  1% 2% 2.5% 3% 4% 5% 7.5% 10% 15% 20% (Probability of incorrectly rejecting the null hypothesis that there is no difference in the percentage values). An Alpha of 5% corresponds to a 95% Confidence Interval.

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