Choice of significance test by data type
Chi for counts, T for two means, ANOVA for many
Helps pick the test quickly in a study design question.
Assumes normally distributed data; non-parametric alternatives apply otherwise.
Teaching aid, still awaiting independent review. Confirm facts in a standard source.
Chi for counts, T for two means, ANOVA for many. It helps you recall: Choice of significance test by data type.
Chi-square for proportions in categories
t-test for two means
Analysis of variance for three or more means
Chi: Chi-square for proportions in categories; T: t-test for two means; ANOVA: Analysis of variance for three or more means.
It belongs to Biostatistics in PSM.
Assumes normally distributed data; non-parametric alternatives apply otherwise.
Helps pick the test quickly in a study design question.
Say it aloud, write it from memory tomorrow, then again in a week. Then test yourself on a PSM question about Biostatistics.
It is a teaching aid written or adapted by our team. Some resemble ones students share informally. Check any fact that matters in a standard source.