Sampling and Testing
Statistics for Data Science
Live Session
Probabilty Theory
1
Probability Spaces
2
Defining Random Variables
3
Summarizing Distributions
4
Conditional Expectation and The BLP
Sampling and Testing
5
Learning from Random Samples
6
Hypothesis Testing
7
Comparing Two Groups
Regression
8
OLS Regression Estimates
9
OLS Regression Inference
10
Descriptive Model Building
11
Explanatory Model Building
12
The Classical Linear Model
13
Reproducible Research
Sampling and Testing
In this section we will introduce the basics of sampling and testing.
4
Conditional Expectation and The BLP
5
Learning from Random Samples