NHST with the binomial distribution
12-A: Using NHST with the binomial distribution to test proportions
Learning Objectives:
Recognize when a research design needs a hypothesis test about proportions (binomial distribution)
Be able to use the NHST steps with the binomial distribution
READ: Hypothesis test for a population proportion
REVIEW: Computing binomial probabilities
READ: NHST with binomial distribution
12-B: Experimental design types review
Learning Objectives:
Be able to distinguish between and within and matched subjects designs
Understand why this distinction is important for statistical analyses
Rationale:
You should be able to differentiate between types of research designs (between, within, and matched) because these design types will lead to different statistical computations. For example, if we have the same participants in each group (within subjects), we can look at the difference, or change, in people across conditions. But, we if have independent participants in each condition (between subjects), we may want to look at how the group averages differ from one another.
READ: Experimental designs
WATCH:
12-C: Using NHST with the binomial sign test
Learning Objectives:
Be able to use the NHST steps with the binomial distribution
Be able to compute p-values for research designs with the binomial distribution
READ: https://sphweb.bumc.bu.edu/otlt/mph-modules/bs/bs704_nonparametric/BS704_Nonparametric5.html