Table of Contents Last updated Save as PDF Page ID16224 1: Main Body1.1: Chapter 11.1: Definitions of Statistics and Key Terms1.3: Sampling1.4: Levels of Measurement2: Sampling and Data2.1: Introduction2.1: Stem-and-Leaf Graphs, Line Graphs, Bar Graphs, and Pie Charts2.2: Histograms, Frequency Polygons, and Time Series Graphs2.3: Measures of the Location of the Data2.4: Box Plots2.5: Measures of the Center of the Data2.6: Skewness and the Mean, Median, and Mode2.7: Measures of the Spread of Data2.8: When to use each measure of Central Tendency3: Descriptive Statistics3.1: Introduction: Descriptive Statistics3.1: The Terminology of Probability3.2: Independent and Mutually Exclusive Events3.3: Two Basic Rules of Probability3.4: Contingency Tables3.5: Tree and Venn Diagrams4: Probability4.1: Introduction: Probability Topics4.1: Probability Distribution Function (PDF) for a Discrete Random Variable04.2: Mean4.2: Mean / Expected Value and Standard Deviation of Discrete Random Variable4.3: Binomial Distribution5: Discrete Random Variables5.1: Introduction: Discrete Random Variables5.5: Geometric Distribution5.6: Poisson Distribution6: Normal Distribution6.1: Introduction to the Normal Distribution (Need Pic)6.1: The Standard Normal Distribution6.2: Using the Normal Distribution7: The Central Limit Theorem7.1: Introduction: The Central Limit Theorem7.1: The Central Limit Theorem for Sample Means (Averages)7.2: The Central Limit Theorem for Sums7.3: Using the Central Limit Theorem8: Confidence Intervals8.1: A Single Population Mean using the Normal Distribution8.1: Introduction: Confidence Intervals8.2: A Single Population Mean using the Student t Distribution8.3: Confidence Interval for Population Proportion9: Hypothesis Testing With One Sample9.1: Introduction: Hypothesis Testing with One Sample9.1: Null and Alternative Hypotheses9.2: Outcomes, Type I and Type II Errors9.3: Distribution Needed for Hypothesis Testing9.4: Rare Events, the Sample, Decision and Conclusion9.5: Additional Information and Full Hypothesis Test Examples10: Linear Regression and Correlation10.1: Introduction: Linear Regression and CorrelationBack MatterIndexGlossary