đź”—
Home
1
Definitions
Key Concepts
Levels of Measurement
Measures of Central Tendency
Measures of Dispersion
Shapes of Distributions
Univariate Statistics
2
Probability
Axioms
Probability Rules
Marginal Rule Explanation
Bayes’ Rule Explanation
Examples
3
Expectations
Mean
Variance
Standard Deviation
Covariance
Correlation
Autocorrelation
Expectation Rules
Exercises
Summary
4
Probability Distributions
Random Variables
Discrete Random Variables
Continuous Random Variables
Permutations and Combinations
Permutations
Combinations
The Hypergeometric Distribution
Mean and Variance
The Binomial Distribution
Bernoulli Trial
Binomial Distribution
Mean and Variance
Shape
Examples
The Poisson Distribution
Properties
Example
Approximating the Binomial Distribution
Normal Distributions
Properties
Applications
Rules
Examples
Approximating the Binomial Distribution
Exponential Distributions
Properties
Examples
Gamma Distributions
Properties
Example
Chi-Square Distributions
Properties
5
Sampling
Estimation
Sample Statistics
Sample Distributions
Central Limit Theorem
Why Does Sample Mean Variance V(XĚ„) Have Denominator n?
Why Does Sample Variance S² Have n - 1 in the Denominator?
Shape of XĚ„
The T Distribution
Confidence Intervals
6
One Sample Hypothesis Testing
Concepts
The Testing
Test Statistics
Z Test Statistic
T Test Statistic
Hypothesis Testing Using Confidence Intervals
Pearson Chi-square Test Statistic
Fisher’s Exact Test
Examples
Example 1 (One-Sided Z-Statistic with One Sample)
Example 2 (Two-Sided Z-Statistic with One Sample)
Example 3 (Z-Statistic with Multiple Samples)
Example 4 (T-Statistic)
Example 5 (Chi-square-Statistic for Goodness-of-Fit Test)
Example 6 (Chi-square-Statistic for Test of Independence)
Example 7 (Chi-square-Statistic for Test of Homogeneity
Example 8 (Fisher’s Exact Test)
7
Two Samples Hypothesis Testing
Case 1: Variances Are Known
Example
Case 2: Variances Are Unknown But Equal
Example
Case 3: Variances Are Unknown and Unequal
Example
Case 4: Matched Pairs with Unknown Variances
Example
Case 5: Difference Between Two Proportions
Example
8
Analysis of Variance (ANOVA)
One-Way Analysis of Variance
Simple One-Factor Model
The Test
Example
Post Hoc Tests
Two-Way Analysis of Variance
Two-Treatments Model
Tests of Interest
Example
Credits
ChatGPT
Sociology Graduate Statistics | University of Notre Dame
STAT 414 Introduction to Probability Theory | Penn State
STAT 504 Analysis of Discrete Data | Penn State
H. Pishro-Nik, “Introduction to probability, statistics, and random processes”, available at
https://www.probabilitycourse.com
, Kappa Research LLC, 2014.
EconMacro