Test whether your sample mean differs from a specific value, such as a national norm, a scale midpoint, or a benchmark score.
Analyzing a full dataset? ReliCheck Quanta runs one sample tests with normality checks, plots, and APA tables on your Mac. Free to try.
Get QuantaUse this test when you have one group and a meaningful comparison value. Examples: does average class performance differ from the national norm of 100? Does mean satisfaction differ from the scale midpoint of 3? Does average response time differ from a published benchmark?
Comparing two groups to each other instead? Use the independent samples t test or the paired samples t test.
The confidence interval reported here is for the difference between your sample mean and the test value. If it excludes zero, the test is significant at the corresponding alpha level. Cohen's d is the mean difference divided by the sample standard deviation.
Choosing the comparison value, and defending it, is usually harder than running the test. A written analysis plan review covers that choice along with the assumptions behind it.
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