Control Test - textbook - RD

How much data to collect:

Power analysis:

  • r (expected correlation)
  • alpha (Type I error ratem typically 0.05)
  • beta(Type II error rate, typically 0.20)

We do not need full power, but comment on lack of power In limitations.

Threats to External Validity

Threats to external validity are expeected to be talked about

  • History, maturation, mortality, testing-participants get familiar with tests

More on the textbook 170-171

Reminder: check our data, more on ppt

Grading notes

Categorial

Nominal like gender, number are no meaningful order

Quantative: Number is meaningful statistically

Basic Tests:

Get tools online to calculate for us

  • T-test - compare means two groups (try to break the hypothesis)
    • Assumption, Hypothesis: H0: u1=u2
  • ANOVA - not tell which is different.
  • Chi-square