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Averages, One Sample  |  Averages, Two Samples  |  Percentages, One Sample  |  Percentages, Two Samples
One Sample Test Using Average Values
One-Tail Test (Hypothesis that Average is greater than some test value or Average is less than some test value, but not both)
Two-Tail Test (Hypothesis that Average is not equal to some test value)
Enter the average value for the sample and a value to compare it to. Also enter the sample size and standard deviation for the sample or a 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.
Test Value:  (Value to compare the sample average to)
Sample Average:  (Value measured from sample or expected from sample)
Sample Size:  (Size of sample or desired number of respondents)
Standard Deviation for Sample:   
Alpha Error Level
or Confidence Level:
 
(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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