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Sample size: each design names the model the course fits - #48
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Before: the design list on the sample size page named classic tests (t-test, ANOVA, chi-square), while the course teaches each of them as a linear model.
After: each option shows the R model the course fits, such as
lm(outcome ~ group),lmer(outcome ~ time + (1 | person))orglm(yes_no ~ group, family = binomial). The result adds a short "The model you will fit" section that says which test in that model the plan is for, with the lesson that shows it.How: new
modelandmodelNotefields on each design. I checked two claims in R:lm(y - 50 ~ 1)gives the one-sample t-test's p-value, and at the sample size from the two-proportion test the logistic Wald test has 78 to 80% power instead of 80%.Generated by Claude Code