# InfoCoBuild

## Statistics 20 - Introduction to Probability and Statistics

Statistics 20: Introduction to Probability and Statistics (Fall 2010, UC Berkeley). Taught by Professor Deborah Nolan, this course provides an introduction to probability and statistics. For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.

 01. Data, Let's Collect some 19. Probability: Hypothesis Testing 02. Intro to the R Project, Functions in R 20. Hypothesis Testing; Roulette Wheel 03. Distribution of Quantitative Variables 21. Boxes and Hypothesis Tests 04. Variables and Functions in R 22. Two Probability Laws and Hypothesis Tests for Averages 05. Lecture 23. Central Limit Theorem 06. BMI (Body Mass Index), Numerical Summaries of Quantitative Data 24. Hypothesis Tests for Averages 07. Graphic Composition Overview 25. Survey Design 08. Scatter Plots, Studying the Relationship between Two Quantitative Variables 26. Project Overview 09. Numerical Summaries of Data 27. Sampling 10. Fisher's "Lady Tasting Tea" Experiment 28. Featured Plots 11. Design of Experiments 29. More on Sampling 12. Design of Experiments (cont.) 30. Correlation and Regression 13. The Box Model 31. Fitting Lines to Data 14. Informal Analysis of an Experiment 32. Lecture 15. Probability; Deck of Cards 33. More on Regression 16. Conditional Probability 34. Regression Concepts 17. Pascal' & Fermat's Solutions 35. Relationships between Categorical Variables 18. Probability Distributions, R & Probability