(*)Learning Outcomes
Learning Outcome 2 (LO2): Analyze toy data sets “by-hand”.
Learning Outcome 3 (LO3): Analyze data sets (synthetic or real) using statistical software.
|
(*)Course Topics:
Part I: Descriptive statistics
- Frequency tables, parameters of location and scale; visualizing univariate distributions
- Bivariate data analysis (general structure of contingency tables, measures of association)
Part II: Probability theory
- Basics of probability (random experiments, independence, Bayes’ theorem)
- Discrete distributions (basics, binomial and hypergeometric distribution, approximation)
- Continuous distributions (basics, normal distribution, z-scores, quantiles, symmetric intervals)
Part III: Statistical inference
- Basic concepts (sampling distribution, unbiased estimators, standard errors)
- Estimation (point estimation, confidence intervals)
- Null hypothesis significance testing
- One-sample t-test
- One-way ANOVA / F-test
- Chi-squared test, correlation test
- Simple linear regression (basic equation, OLS, t-test, prediction, coefficient of determination)
Learning Outcomes
Learning Outcome 1 (LO1): Recall the basic concepts of statistics.
|