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Averages, One Sample
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Averages, Two Samples
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Percentages, One Sample
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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:
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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