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Data Analytics for Critical Thinkers
Bayesian Inference
10
Bayesian inference
Data Analytics for Critical Thinkers
Data Analytics for Critical Thinkers
Theoretical Foundations
1
The Purpose of Data Analytics
2
Basic Probability Concepts
3
Parameters and statistics
4
Expectation and Variance Operators
5
Bounding Outliers
6
The normal distribution
Descriptive Statistics
7
Data
8
Summary statistics
9
Graphing
Bayesian Inference
10
Bayesian inference
Frequentist Inference
11
Foundations of Frequentist Statistics
12
Estimating the population mean
13
Estimating the population variance
14
Hypothesis Testing and Standard Error
15
Claim about a population mean (small sample)
16
Claims about two population means
17
Claim about multiple population means
18
Correlation
19
Bivariate regression
20
Multivariate regression
Advanced Modeling
21
Dichotomous Choice Modeling
Bayesian Inference
10
Bayesian inference
10
Bayesian inference
Note
This chapter is currently under development.
Content coming soon.
9
Graphing
11
Foundations of Frequentist Statistics