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print friendly   Averages, One Sample  |  Averages, Two Samples  |  Percentages, One Sample  |  Percentages, Two Samples One Sample Test Using Percentage Values One-Tail Test (Hypothesis that Percentage is greater than some test value or Percentage is less than some test value, but not both) Two-Tail Test (Hypothesis that Percentage is not equal to some test value) To calculate the minimum possible statistical power, use a test value of 50% which produces the largest possible variance (also known as the "Most Pessimistic Variance Assumption"). Test Value (%):  (Value to compare the sample percentage to) Sample (%):  Percentage (Value measured from sample or expected from sample) Sample Size:  (Size of sample 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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