Part I
17
The central limit theorem
Statistical Methods
Preface
Part I
1
Basics of sets
2
Basics of probability
3
Counting rules
4
Conditional probability
5
Independence
6
Bayes’ rule
7
Random variables
8
Discrete random variables
9
Bernoulli and binomial distributions
10
Hypergeometric distribution
11
Sampling with versus without replacement
12
Continuous random variables
13
The Normal distribution
14
Poisson and exponential distributions
15
The mean of a random sample
16
Normal quantile-quantile plot
17
The central limit theorem
18
The sample proportion
19
Statistical power of one-sample tests
Part II
20
Simple linear regression
21
Multiple linear regression I
Part III
22
Logistic regression
Appendices
23
\(Z\)
-table
References
Part I
17
The central limit theorem
17
The central limit theorem
Author
Karl Gregory
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Coming soon.
16
Normal quantile-quantile plot
18
The sample proportion