Statistical inference
Quantitative methods and statistics with examples in R, Jamovi and JASP
Introduction
Describing data
1
Data and variables
2
Describing data
3
Data distributions
4
Visualizing data
5
Reproducible reports
Associations
6
The linear model
7
Correlations
8
Predictions, linear and curve-linear relationships
9
Categorical predictors and multiple regression
10
Predictions and interactions
11
Generalized linear models
12
Mixed models
Statistical inference
13
Samples, populations, estimates and their uncertainty
14
What is the
p
-value?
15
Hypothesis tests and statistical power
References
Statistical inference
Methods for statistical inference are used to make statements about populations based on samples.
12
Mixed models
13
Samples, populations, estimates and their uncertainty