Self Paced

Introduction to Probability and Statistics (WMA)

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.

Lesson content

Lec 1 Data

Lec 2

Lec 3 Distribution of Quantitative Variables

Lec 4 Variables & Functions in R

Lec 5 Numerical avg

Lec 6 Body Mass Index

Lec 7

Lec 8 Scatter Plots

Lec 9 Numerical Summaries of Data

Lec 10

Lec 11 Design of Experiments

Lec 12 Design of Experiments II

Lec 13 The Box Model

Lec 14 Informal Analysis of an Experiment

Lec 15

Lec 16 Conditional Probability

Lec 17 Pascal's & Fermat's Solutions

Lec 18 R & probability

Lec 19 Hypothesis Testing

Lec 20 Roulette wheel

Lec 21 0-1 Boxes & Hypothesis Tests

Lec 22 two probability Laws & Hypothesis tests for averages

Lec 23 Central Limit Theorem

Lec 24 Hypothesis tests for averages

Lec 25 Survey Design

Lec 26 Project Overview

Lec 27

Lec 28 Featured Plots

Lec 29 Sampling

Lec 30 Correlation & Regression

Lec 31 Fitting lines to Data

Lec 33 more on Regression

Lec 34 Regression Concepts

Lec 35 Relationships between Categorical Variables

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