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