# Statistics 20, 003 - Introduction to Probability and Statistics

### Course Description

Statistics 20, 003 - Fall 2010
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. Basic modules of the course:

1. Graphics, Descriptive Statistics, Exploratory Data Analysis
2. Experiments, Hypothesis Testing, Randomization
3. Probability, Random Variables, Simulation
4. Survey Sampling, Bootstrap, Confidence Intervals
5. Observational Studies, Regression, Modeling

Snapshot of Lecture 6
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### Video Lectures & Study Materials

# Lecture Play Lecture
1 Lecture 1: Collecting Data Play Video
2 Lecture 2: The R Project for Statistical Computing Play Video
3 Lecture 3: Distribution of Quantitative Variables Play Video
4 Lecture 4: Variables and Functions in R Play Video
5 Lecture 6: Body Mass Index, Numeric Summaries of Quantitative Data Play Video
6 Lecture 7: Graphics Composition Overview Play Video
7 Lecture 8: Scatter Plots Play Video
8 Lecture 8: Time Play Video
9 Lecture 9: Numerical Summaries of Data Play Video
10 Lecture 10: Fisher's "Lady Tasting Tea" Experiment Play Video
11 Lecture 11: Designs of Experiments Play Video
12 Lecture 12: Design of Experiments Play Video
13 Lecture 13: The Box Model Play Video
14 Lecture 14: Informal Analysis of an Experiment Play Video
15 Lecture 15: Deck of Cards Play Video
16 Lecture 16: Conditional Probability Play Video
17 Lecture 17: Pascal's & Fermat's Solutions Play Video
18 Lecture 18: R and Probability Play Video
19 Lecture 19: Hypothesis Testing Play Video
20 Lecture 20: Roulette Wheel Play Video
21 Lecture 21: 0-1 Boxes and Hypothesis Tests Play Video
22 Lecture 22: Two Probability Laws and Hypothesis Tests for Averages Play Video
23 Lecture 23: Central Limit Theorem Play Video
24 Lecture 24: Hypothesis Tests for Averages Play Video
25 Lecture 25: Survey Design Play Video
26 Lecture 26: Project Overview Play Video
27 Lecture 27: Sampling Play Video
28 Lecture 28: Featured Plots Play Video
29 Lecture 29: More on Sampling Play Video
30 Lecture 30: Correlation and Regression Play Video
31 Lecture 31: Fitting Lines to Data Play Video
32 Lecture 33: More on Regression Play Video
33 Lecture 34: Regression Concepts Play Video
34 Lecture 35: Emails Play Video
35 Lecture 36 Play Video