After passing this course, students:
- can generate and interpret descriptive statistics, both numerically and graphically
- know elementary probability theory and can apply this theory to model problems and compute (conditional) probabilities as well as expectations and variance of random variables
- recognize which probability distribution (Bernoulli, binomial, uniform, normal, exponential) to apply in practical situations
- are able to give estimates and confidence intervals for unknown population means or population proportions, and
- can apply hypothesis testing for one-sample-problems under normal distributions.
The main study content consists of:
- Statistical experiments, sample spaces and probability,
- combinatorial probability,
- conditional probability and independence,
- discrete random variables,
- continuous random variables,
- waiting times,
- descriptive statistics,
- confidence intervals,
- hypothesis tests,
- two sample problems,
- Chi-square tests, and lastly
- choice of model and non-parametric methods.
Manual enrollment via Osiris is only for Creative Technology students. If you want to enroll, please contact K. Zalewska (firstname.lastname@example.org).