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Table of Contents

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Program Details

Module 1: Data and the Science of Statistics
  • 1.1 The Discipline of Statistics
  • 1.2 Types of Statistics
  • 1.3 Sample Data vs. Population Data
  • 1.4 Types of Data
  • 1.5 Levels of Measurement

Module 2: Describing Attributes of a Data Set
  • 2.1 Summarizing Qualitative Data
  • 2.2 Summarizing Quantitative Data
  • 2.3 Summation Notation
  • 2.4 Measures of Center
  • 2.5 Measures of Dispersion
  • 2.6 Chebyshev's Theorem
  • 2.7 The Empirical Rule
  • 2.8 Relative Position
  • 2.9 Box Plots and Symmetry

Module 3: A Survey of Probability
  • 3.1 Basic Probability
  • 3.2 Counting Techniques
  • 3.3 Addition Rule of Probability
  • 3.4 Conditional Rule of Probability
  • 3.5 Multiplication Rule of Probability
  • 3.6 Using Complements

Module 4: Discrete Random Variables
  • 4.1 Probability Distributions for Discrete Random Variables
  • 4.2 Expected Value, Variance, and Standard Deviation for Discrete Random Variables
  • 4.3 The Binomial Probability Distribution
  • 4.4 The Poisson Probability Distribution

Module 5: Continuous Random Variables

  • 5.1 Continuous Random Variables
  • 5.2 The Normal Distribution
  • 5.3 Applications of the Normal Distribution
  • 5.4 Normal Approximation to the Binomial Distribution

Module 6: Point Estimators and the Sampling Distribution of the Sample Mean
  • 6.1 Point Estimators and Sampling Distributions
  • 6.2 The Central Limit Theorem


Module 7: Interval Estimators
  • 7.1 Interval Estimate of the Population Mean with a Known Population Standard Deviation
  • 7.2 Sample Size Requirements for Estimating the Population Mean
  • 7.3 Interval Estimate of the Population Mean with an Unknown Population Standard Deviation
  • 7.4 Interval Estimate of the Population Proportion
  • 7.5 Sample Size Requirements for Estimating the Population Proportion

Module 8: Hypothesis Testing
  • 8.1 Testing Hypothesis about a Population Mean with a Known Population Standard Deviation
  • 8.2 Testing Hypothesis about a Population Mean with an Unknown Population Standard Deviation
  • 8.3 Testing Hypothesis about a Population Proportion

Module 9: Two Sample Procedures
  • 9.1 Comparisons of Two Population Means with Known Population Standard Deviations Based on Independent Samples
  • 9.2 Comparisons of Two Population Means with Unknown Population Standard Deviations Based on Independent Samples with Equal Variances
  • 9.3 Comparisons of Two Population Means with Unknown and Assumed Unequal Population Variances Based on Independent Samples
  • 9.4 Inferences about Mean Differences (Dependent Samples)
  • 9.5 Comparisons of Two Population Proportions Based on Independent Sampling
  • 9.6 Comparisons of Two Population Variances Based on Independent Samples

Module 10: Chi-Square Procedures
  • 10.1 The Chi-Square Goodness-of-Fit Test
  • 10.2 The Chi-Square Test of Independence

Module 11: Linear Models
  • 11.1 ANOVA for Completely Randomized Design Experiments
  • 11.2 The Coefficient of Correlation
  • 11.3 Creating the Least Squares Equation
  • 11.4 Making Inference about the Slope of the Regression Line
  • 11.5 The Coefficient of Determination
  • 11.6 Confidence and Prediction Intervals for Y