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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
Sampling and Sampling Distributions
Sampling Methods
Probability Sampling
Simple Random Sampling
With Replacement
Without Replacement
Implementation Methods
Systematic Sampling
Procedure
Advantages and Disadvantages
Stratified Sampling
Proportional Allocation
Optimal Allocation
Advantages and Disadvantages
Cluster Sampling
Single-Stage Cluster Sampling
Multi-Stage Cluster Sampling
Advantages and Disadvantages
Non-Probability Sampling
Convenience Sampling
Judgment Sampling
Quota Sampling
Snowball Sampling
Comparing Sampling Methods
Sampling and Non-Sampling Errors
Sampling Error
Factors Affecting Sampling Error
Non-Sampling Error
Measurement Error
Nonresponse Error
Processing Error
Coverage Error
Minimizing Errors
Sampling Distributions
Concept of Sampling Distribution
Sampling Distribution of the Mean
Standard Error
Sampling Distribution of the Proportion
Standard Error
Sampling Distribution of the Variance
Central Limit Theorem
Statement
Conditions
Implications
Applications in Business
Sample Size Considerations
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5. Statistical Inference: Estimation