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Statistics
Statistics
1. Introduction to Statistics
2. Data Collection and Sampling
3. Descriptive Statistics: Organizing and Summarizing Data
4. Probability Theory
5. Probability Distributions
6. Sampling Distributions
7. Inferential Statistics: Estimation
8. Inferential Statistics: Hypothesis Testing
9. Analysis of Variance (ANOVA)
10. Correlation and Regression
11. Chi-Square Tests
12. Non-Parametric Statistics
13. Experimental Design
14. Advanced Topics in Statistics
Probability Distributions
Random Variables
Types of Random Variables
Discrete Random Variables
Probability Mass Function (PMF)
Properties of PMF
Expected Value
Variance
Continuous Random Variables
Probability Density Function (PDF)
Properties of PDF
Cumulative Distribution Function (CDF)
Expected Value
Variance
Discrete Probability Distributions
Binomial Distribution
Conditions
Probability Formula
Mean and Variance
Normal Approximation
Poisson Distribution
Conditions
Probability Formula
Mean and Variance
Poisson Process
Hypergeometric Distribution
Conditions
Probability Formula
Differences from Binomial
Geometric Distribution
Conditions
Probability Formula
Mean and Variance
Memoryless Property
Negative Binomial Distribution
Conditions
Continuous Probability Distributions
The Normal Distribution
Properties of the Normal Curve
Bell Shape
Symmetry
Asymptotic Tails
Parameters
Mean (μ)
Standard Deviation (σ)
Empirical Rule (68-95-99.7 Rule)
The Standard Normal Distribution (Z-distribution)
Standardization
Z-tables
Probability Calculations
The Uniform Distribution
Continuous Uniform
Parameters
The Exponential Distribution
Parameters
Memoryless Property
The t-Distribution
Degrees of Freedom
Comparison with Normal
The Chi-Square Distribution
Degrees of Freedom
The F-Distribution
Parameters
The Central Limit Theorem
Statement and Importance
Conditions
Sample Size Requirements
Applications in Sampling
Demonstration with Examples
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4. Probability Theory
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6. Sampling Distributions