Data Analytics for Critical Thinkers

Data Analytics for Critical Thinkers

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Preface

Welcome
About the Authors
Callout Examples

Theoretical Foundations

1The Purpose of Data Analytics
2Probability
3Parameters and statistics
4Expectation and Variance Operators
5Bounding Outliers
6The Normal Distribution

Descriptive Statistics

7Data
8Summary statistics
9Graphing

Bayesian Inference

10Bayesian inference

Frequentist Inference

11Foundations of Frequentist Statistics
12Estimating the population mean
13Estimating the population variance
14Testing a claim about a population mean
15Claim about a population mean (small sample)
16Claims about two population means
17Claim about multiple population means

Advanced Modeling

18Correlation
19Bivariate regression
20Multiple Regression
21Panel Data Methods
22Propensity Score Matching
23Dichotomous Choice Modeling

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