Key concepts

• Sampling distribution
• Probability distributions
• ANOVA
• General model

Class sessions

Class 1. Probability distributions and statistical inference

• Probability distributions

  • Normal, Binomial, Poisson...

• Statistical inference: populations versus samples

  • What is a sampling distribution?

• Types of errors in statistical inference

  • Sampling error
  • Measurement error
  • Model error

• Reading:

  • GHV ch 3 (3.5)
  • GHV ch 4 (4.1, 4.3)

• Video:

  The Main Ideas behind Probability Distributions

Class 2. ANOVA & general model

• Analysis of Variance (ANOVA)
• General Linear Model
• Debates between Frequentist and Bayesian
  • Bayesian inference is beyond the scope of this course.
  • (Video) Bates’ Theorem
• Reading:
  • GHV ch 1 (1.1, 1.2, skim 1.5)