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Getting Started
Introductory Economic Statistics: A Data-Driven Approach using R
Preface
Getting Started
1
First Steps
Univariate Data
2
Data & Visualization
3
Summary Statistics
4
Random Variables
5
Sampling & Resampling
6
Estimation Theory
7
Confidence Intervals
8
Hypothesis Testing
9
Advanced Probability
10
Advanced Empirics
Bivariate Data
11
Bivariate Distributions
12
Comparing Two Groups
13
Comparing Multiple Groups
14
Statistics of Association
15
Simple Regression
16
Local Regression
17
Local Regression II
18
Bivariate Theory
19
Classical Tests and Bias-Variance
20
Communicating Results
Multivariate Data
21
Multivariate Distributions
22
Multiple Linear Regression
23
Mixed-Data Regression
24
Model Assessment
25
Local Relationships
26
Observational Data
27
Experimental Data
28
Data Scientism
29
Misc. Multivariate Topics
Appendices
A
Working with AI
B
Code Conventions
C
Figure Conventions
D
Notation
E
Packages and Datasets
Getting Started
We will use R statistical software, which you will be introduced to in the first chapter.
Preface
1
First Steps