References
Introduction to Statistics
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Welcome
Statistics and Data
1
Science of Data and Data Science
2
Data Collection and Data Type
3
ready fo
R
data
4
P
repare
Y
ourself for data
Summarizing Data
5
Data Visualization
6
Numerical Measures of Data
Probability
7
Definition of Probability
8
Probability Rules and Bayes Formula
9
Random Variables
10
Discrete Probability Distributions
11
Continuous Probability Distributions
12
Random Sampling and Sampling Distribution
13
Law of Large Numbers and Central Limit Theorem
Statistical Inference
14
Point and Interval Estimation
15
Bootstrapping
16
Hypothesis Testing
17
Comparing Two Population Means
18
Inference About Variances
19
Inference About Proportions
20
Inference about Categorical Data
21
The Issues of
\(p\)
-value and Statistical Significance
22
Bayesian Thinking and Inference
23
Nonparametric Tests
Statistical Models
24
Analysis of Variance
25
Multiple Comparison*
26
Two-Way ANOVA*
27
Simple Linear Regression
28
Multiple Linear Regression*
29
Logistic Regression
30
Bayesian Linear Regression*
31
Survival Analysis
References
Appendices
A
R programming
B
Python Programming
References
31
Survival Analysis
A
R programming