None
Upon successful completion of this course, delegates will be able to:
- create informative summaries of data
- design and and interpret statistical graphics
- identify biases in data and reason about their effects
- incorporate uncertainty into inferences from data
Descriptive statistics
creating informative summaries of data
the different kinds of average and when to use them;
measures of spread and uncertainty
understanding and interpreting correlation
Data visualization
principles of statistical graphics
graphical summaries of single variables
graphical summaries of multiple variables
representing uncertainty graphically
Statistical thinking
observational vs experimental data
confounding and Simpson's paradox
wisdom of the crowd
the logic of hypothesis testing
Bayesian reasoning