This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world.
A first look at data
Weeks 1-2: Summary statistics and graphical displays for a single categorical or quantitative variable and for relationships between two variables.
Week 2: Sampling. Observational studies and experiments. The effect of confounding and concluding causation.
Week 3: Probability models, the normal distribution, the Law of Large Numbers, the Central Limit Theorem, sampling distributions.
Week 4: Confidence intervals and sample size estimation for proportions and means.
Tests of significance
Week 5: Tests of significance, power and sample size estimation for proportions and means
Week 6: Tests of significance and confidence intervals for proportions and means in the two sample case.
Simple linear regression
Week 7: Method of least squares, evaluating model fit, the effects of outliers and influential observations.
The process of statistical inquiry
Week 8: Capstone case study.
- Alison Gibbs - Department of Statistical Sciences
- Jeffrey Rosenthal - Department of Statistical Sciences