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print friendly   Averages, One Sample  |  Averages, Two Samples  |  Percentages, One Sample  |  Percentages, Two Samples Two Sample Tests Using Average Values One-Tail Test (Hypothesis that the Average for Sample 1 is greater than the Average for Sample 2 or Average 1 is less than Average 2, but not both) Two-Tail Test (Hypothesis that the Average for Sample 1 is not equal to the Average for Sample 2) Enter the average value for Sample 1 and the average value for Sample 2. Also enter the sample sizes and standard deviations for each sample or rough estimates of them. For reference, a 5-pt. scale may typically have a standard deviation of 0.8 to 1.2 and a 10-pt scale may have a standard deviation between 3.0 and 4.0 for most items. The larger the standard deviation, the larger the sampling error. Average Value for Sample 1:  (Value measured from Sample 1 or expected from it) Average Value for Sample 2:  (Value measured from Sample 2 or expected from it) 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) Standard Deviation for Sample 1:    Standard Deviation for Sample 2:    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 average values). An Alpha of 5% corresponds to a 95% Confidence Interval.

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