Learning Outcome 2 (LO2): Analyze toy data sets “by-hand”.

Learning Outcome 3 (LO3): Analyze data sets (synthetic or real) using statistical software.

1. Frequency tables, parameters of location and scale; visualizing univariate distributions
2. Bivariate data analysis (general structure of contingency tables, measures of association)

1. Basics of probability (random experiments, independence, Bayes’ theorem)
2. Discrete distributions (basics, binomial and hypergeometric distribution, approximation)
3. Continuous distributions (basics, normal distribution, z-scores, quantiles, symmetric intervals)

1. Basic concepts (sampling distribution, unbiased estimators, standard errors)
2. Estimation (point estimation, confidence intervals)
3. Null hypothesis significance testing
4. One-sample t-test
5. One-way ANOVA / F-test
6. Chi-squared test, correlation test
7. Simple linear regression (basic equation, OLS, t-test, prediction, coefficient of determination)

Learning Outcomes

Learning Outcome 1 (LO1): Recall the basic concepts of statistics.