Useful Links
Statistics
Statistics for Business
1. Introduction to Business Statistics
2. Descriptive Statistics
3. Probability Theory
4. Sampling and Sampling Distributions
5. Statistical Inference: Estimation
6. Statistical Inference: Hypothesis Testing
7. Regression Analysis
8. Time Series Analysis and Forecasting
9. Statistical Quality Control
10. Decision Analysis
Probability Theory
Fundamental Concepts
Definitions of Probability
Classical Probability
Empirical Probability
Subjective Probability
Sample Spaces and Events
Sample Space
Simple Events
Compound Events
Mutually Exclusive Events
Collectively Exhaustive Events
Probability Notation
Basic Probability Properties
Types of Probability
Simple Probability
Joint Probability
Marginal Probability
Conditional Probability
Calculation
Independence of Events
Dependent Events
Probability Rules
Addition Rule
Mutually Exclusive Events
Non-Mutually Exclusive Events
Multiplication Rule
Independent Events
Dependent Events
Complement Rule
Bayes' Theorem
Formula and Calculation
Business Applications
Updating Probabilities
Discrete Probability Distributions
Random Variables
Discrete Random Variables
Probability Mass Function
Expected Value
Calculation
Interpretation
Variance of Discrete Distributions
Binomial Distribution
Assumptions
Mean and Variance
Business Applications
Binomial Tables
Poisson Distribution
Assumptions
Mean and Variance
Business Applications
Poisson Tables
Hypergeometric Distribution
Assumptions
Mean and Variance
Business Applications
Continuous Probability Distributions
Continuous Random Variables
Probability Density Function
Cumulative Distribution Function
Expected Value and Variance
Uniform Distribution
Calculations
Normal Distribution
Characteristics
Parameters
Standard Normal Distribution
Z-Transformation
Normal Tables
Business Applications
Exponential Distribution
Calculations
Previous
2. Descriptive Statistics
Go to top
Next
4. Sampling and Sampling Distributions