Sampling Distributions:
Sample and sampling, The central limit theorem, Sampling distribution of sample proportion and example

Confidence Intervals:
Inference and confidence intervals for mean, Confidence interval for proportion and confidence levels, Sample size and example

Introduction, Exploring data:
About the course, How it’s organised, Data and visualisation

Correlation and Regression:
Correlation, Regression, Caveats examples

Exploring data (cont.):
Measures of central tendency and dispersion, Z-scores and example

Probability Distributions:
Probability distributions, Mean and Variance of a Random Variable, The normal distribution, The Binomial distribution

Categorical association:
Chi-squared test for association, Chi-squared test for goodness-of-fit, Sidenotes and an alternative to the Chi-squared test

Comparing two groups:
Drawing inferences, Independent groups, Dependent groups, Controlling for other variables

Midterm test

Significance Tests:
Hypotheses and significance tests, Step-by-step plan and confidence interval, type I and type II errors and example

Multiple regression:
Model, tests, Categorical predictors, categorical response variable and example

Simple regression:
Describing quantitative association, drawing inferences, exponential regression

Analysis of variance:
Basics and one-way ANOVA, Factorial ANOVA and regression

Non-parametric tests:
The basics, Comparing groups with respect to mean rank, Rank-based correlation and randomness

Final exam