1 Sample t-test

1 Continuous Dependent Variable with normal distribution

0 Independent Variables

A one sample t-test measures whether a sample value significantly differs from a hypothesized value [13].  For example, a Movielens researcher might hypothesize it takes 50 seconds for a new user to add a friend to their buddy list. The researcher conducts an experiment and measures how long it takes several new users to perform the task. The one sample t-test measures whether the mean amount of time it took the experimental group to complete the task varies significantly from the hypothesized 50 second value.

The one sample t-test requires that the dependent variable follow a normal distribution. When the number of subjects in the experimental group is 30 or more, the central limit theorem shows a normal distribution can be assumed. If the number of subjects is less than 30, the researcher should plot the results and examine whether they appear to follow a normal distribution. If the distribution appears to be non-normal, and/or if the number of test cases is significantly less than 30, then a one sample median test, which does not require a normal distribution, should be used to test the hypothesis.

Values to report:

· the mean of the test group

· degrees of freedom for the t-test

· t-value

· p value