
Essential Statistics
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- Basic Definitions and Concepts
- Overview
- Presentation of Data
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- Three Popular Data Displays
- Measures of Central Location
- Measures of Variability
- Relative Position of Data
- The Empirical Rule and Chebyshev’s Theorem
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- Sample Spaces, Events, and Their Probabilities
- Complements, Intersections, and Unions
- Conditional Probability and Independent Events
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- Random Variables
- Probability Distributions for Discrete Random Variables
- The Binomial Distribution
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- Continuous Random Variables
- The Standard Normal Distribution
- Probability Computations for General Normal Random Variables
- Areas of Tails of Distributions
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- The Mean and Standard Deviation of the Sample Mean
- The Sampling Distribution of the Sample Mean
- The Sample Proportion
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- Large Sample Estimation of a Population Mean
- Small Sample Estimation of a Population Mean
- Large Sample Estimation of a Population Proportion
- Sample Size Considerations
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- The Elements of Hypothesis Testing
- Large Sample Tests for a Population Mean
- The Observed Significance of a Test
- Small Sample Tests for a Population Mean
- Large Sample Tests for a Population Proportion
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- Comparison of Two Population Means: Large, Independent Samples
- Comparison of Two Population Means: Small, Independent Samples
- Comparison of Two Population Means: Paired Samples
- Comparison of Two Population Proportions
- Sample Size Considerations
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- Linear Relationships Between Variables
- The Linear Correlation Coefficient
- Modelling Linear Relationships with Randomness Present
- The Least Squares Regression Line
- Statistical Inferences About ?1
- The Coefficient of Determination
- Estimation and Prediction
- A Complete Example
- Formula List
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- Chi-Square Tests for Independence
- Chi-Square One-Sample Goodness-of-Fit Tests
- F-tests for Equality of Two Variances
- F-Tests in One-Way ANOVA
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