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An overview of various statistical tests used for hypothesis testing, including the single sample t-test, between subjects t-test, within subjects t-test, mann-whitney u test, wilcoxon matched pairs signed ranks test, chi square goodness of fit test, and chi square for contingency tables. Each test is described by the null and alternative hypotheses, the question to be answered, and the statistic to choose.
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Used to test hypothesis about:
Number of Groups Question to be Answered (Verbal statement of the hypothesis)
Statistic to Choose Null and Alternative Hypothesis
Means One Is the mean of the group significantly different from some number?
Single Sample t-test H 0 : μ = number H 1 : μ Ö number or H 1 : μ ó number or H 1 : μ ô number
example H 0 : μ = 30
Two independent (separate) groups
Is the mean of one group significantly different from the mean of the other?
Between Subjects (Independent Samples) t-test
H 0 : μ1 = μ H 1 : μ Öμ or H 1 : μóμ or H 1 : μôμ
Two groups of matched subjects or two measures on the same subjects (repeated measures)
Is the mean of one set of scores significantly different from the mean of the other set of scores?
Within Subjects (repeated measures or dependent groups) t-test
H 0 : μ 1 - μ2 = 0 H 1 :μ 1 - μ2 Ö 0
Ranks Two independent (separate) groups
Are the ranks assigned by one group higher or lower than the ranks assigned by the other group?
Mann-Whitney U Test
HO: The ranks are no different
H 1 : The ranks are higher or lower.
Two groups of matched subjects or two measures on the same subjects (repeated measures)
Are the ranks assigned in one situation higher or lower than the ranks assigned in another situation?
Wilcoxon Matched Pairs Signed Ranks Test
HO: The ranks are no different
H 1 : The ranks are higher or lower.
Shape of the Distribution
Frequency Distribution
One group/set of scores
Are the scores normally distributed?
Or Are the scores distributed in some specified way?
Chi Square goodness of fit
H 0 : The distribution is normal
H 1 : The distribution differs from normal
Frequency Distribution/ Counts
Count the number in each of several categories on two dimensions.
Is there a relationship between the dimensions (variables)?
Chi Square for Contingency Tables
H 0 : There is no relationship (the dimensions/ variables are independent)
H 1 : There is a relationship.