Statistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.
Table of Contents
1 Introduction
2 Working with data
3 Probability
4 Summarizing data
5 Fitting models to data
6 Data Visualization
7 Sampling
8 Resampling and simulation
9 Hypothesis testing
10 Confidence intervals, effect sizes, and statistical power
11 Bayesian statistics
12 Modeling categorical relationships
13 Modeling continuous relationships
14 The General Linear Model
15 Comparing means
16 The process of statistical modeling: A practical example
17 Doing reproducible research
- Subject:
- Mathematics
- Psychology
- Social Science
- Statistics and Probability
- Material Type:
- Textbook
- Author:
- Russell A. Poldrack
- Date Added:
- 06/12/2020
