Part II
21
Central limit theorem for the sample proportion
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
Drawing with versus without replacement
12
Continuous random variables
13
The Normal distribution
14
Poisson and exponential distributions
Part II
15
The mean of a random sample
16
The sample variance
17
Histogram
18
Normal quantile-quantile plot
19
The central limit theorem
20
Sample proportion
21
Central limit theorem for the sample proportion
Part III
22
Statistical power of one-sample tests
Part IV
23
Simple linear regression
24
Multiple linear regression I
Part V
25
Logistic regression
Appendices
26
\(Z\)
-table
References
Part II
21
Central limit theorem for the sample proportion
21
Central limit theorem for the sample proportion
Author
Karl Gregory
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Coming soon.
20
Sample proportion
22
Statistical power of one-sample tests