Introductory Statistics 1st edition

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• Chapter 1: Sampling and Data
  • 1.1: Definitions of Statistics, Probability, and Key Terms
  • 1.2: Data, Sampling, and Variation in Data and Sampling
  • 1.3: Frequency, Frequency Tables, and Levels of Measurement
  • 1.4: Experimental Design and Ethics
  • 1.5: Data Collection Experiment
  • 1.6: Sampling Experiment
  • 1: Chapter Review - Bringing It Together
  • HW: Homework
  
  
• Chapter 2: Descriptive Statistics
  • 2.1: Stem and Leaf Graphs (Stemplots), Line Graphs and Bar Graphs
  • 2.2: Histograms, Frequency Polygons, and Time Series Graphs
  • 2.3: Measures of the Location of the Data
  • 2.4: Box Plots
  • 2.5: Measures of the Center of the Data
  • 2.6: Skewness and the Mean, Median, and Mode
  • 2.7: Measures of the Spread of the Data
  • 2.8: Descriptive Statistics
  • 2: Chapter Review - Bringing It Together
  • 2: Labs
  • 2: Labs
  
  
• Chapter 3: Probability Topics
  • 3.1: Terminology
  • 3.2: Independent and Mutually Exclusive Events
  • 3.3: Two Basic Rules of Probability
  • 3.4: Contingency Tables
  • 3.5: Tree and Venn Diagrams
  • 3.6: Probability Topics
  • 3: Chapter Review - Bringing It Together
  • 3: Labs
  • 3: Labs
  
  
• Chapter 4: Discrete Random Variables
  • 4.1: Probability Distribution Function (PDF) for a Discrete Random Variable
  • 4.2: Mean or Expected Value and Standard Deviation
  • 4.3: Binomial Distribution
  • 4.4: Geometric Distribution
  • 4.5: Hypergeometric Distribution
  • 4.6: Poisson Distribution
  • 4.7: Discrete Distribution (Playing Card Experiment)
  • 4.8: Discrete Distribution (Lucky Dice Experiment)
  • 4: Labs
  • HW: Homework
  • 4: Labs
  
  
• Chapter 5: Continuous Random Variables
  • 5.1: Continuous Probability Functions
  • 5.2: The Uniform Distribution
  • 5.3: The Exponential Distribution
  • 5.4: Continuous Distribution
  • PR: Practice
  • HW: Homework
  
  
• Chapter 6: The Normal Distribution
  • 6.1: The Standard Normal Distribution
  • 6.2: Using the Normal Distribution
  • 6.3: Normal Distribution (Lap Times)
  • 6.4: Normal Distribution (Pinkie Length)
  • 6: Labs
  • HW: Homework
  • 6: Labs
  
  
• Chapter 7: The Central Limit Theorem
  • 7.1: The Central Limit Theorem for Sample Means (Averages)
  • 7.2: The Central Limit Theorem for Sums
  • 7.3: Using the Central Limit Theorem
  • 7.4: Central Limit Theorem (Pocket Change)
  • 7.5: Central Limit Theorem (Cookie Receipts)
  • 7: Labs
  • HW: Homework
  • 7: Labs
  
  
• Chapter 8: Confidence Intervals
  • 8.1: A Single Population Mean using the Normal Distribution
  • 8.2: A Single Population Mean using the Student t Distribution
  • 8.3: A Population Proportion
  • 8.4: Confidence Interval (Home Costs)
  • 8.5: Confidence Interval (Place of Birth)
  • 8.6: Confidence Interval (Women's Heights)
  • 8: Labs
  • HW: Homework
  • 8: Labs
  
  
• Chapter 9: Hypothesis Testing with One Sample
  • 9.1: Null and Alternate Hypotheses
  • 9.2: Outcomes and the Type I and Type II Errors
  • 9.3: Distribution Needed for Hypothesis Testing
  • 9.4: Rare Events, the Sample, Decision and Conclusion
  • 9.5: Additional Information and Full Hypothesis Test Examples
  • 9.6: Hypothesis Testing of a Single Mean and Single Proportion
  • 9: Labs
  • HW: Homework
  • 9: Labs
  
  
• Chapter 10: Hypothesis Testing with Two Samples
  • 10.1: Two Population Means with Unknown Standard Deviations
  • 10.2: Two Population Means with Known Standard Deviations
  • 10.3: Comparing Two Independent Population Proportions
  • 10.4: Matched or Paired Samples
  • 10.5: Hypothesis Testing for Two Means and Two Proportions
  • 10: Chapter Review - Bringing It Together
  • 10: Labs
  • 10: Labs
  
  
• Chapter 11: The Chi-Square Distribution
  • 11.1: Facts About the Chi-Square Distribution
  • 11.2: Goodness-of-Fit Test
  • 11.3: Test of Independence
  • 11.4: Test for Homogeneity
  • 11.5: Comparison of the Chi-Square Tests
  • 11.6: Test of a Single Variance
  • 11.7: Lab 1: Chi-Square Goodness-of-Fit
  • 11.8: Lab 2: Chi-Square Test of Independence
  • 11: Chapter Review - Bringing It Together
  • 11: Labs
  • 11: Labs
  
  
• Chapter 12: Linear Regression and Correlation
  • 12.1: Linear Equations
  • 12.2: Scatter Plots
  • 12.3: The Regression Equation
  • 12.4: Testing the Significance of the Correlation Coefficient
  • 12.5: Prediction
  • 12.6: Outliers
  • 12.7: Regression (Distance from School)
  • 12.8: Regression (Textbook Cost)
  • 12.9: Regression (Fuel Efficiency)
  • 12: Chapter Review - Bringing It Together
  • 12: Labs
  • 12: Labs
  
  
• Chapter 13: F Distribution and One-Way ANOVA
  • 13.1: One-Way ANOVA
  • 13.2: The F Distribution and the F-Ratio
  • 13.3: Facts About the F Distribution
  • 13.4: Test of Two Variances
  • 13.5: Lab: One-Way ANOVA
  • 13: Labs
  • HW: Homework
  • 13: Labs
  
  
• Chapter A: Appendices
  • A.A: Review Exercises (Ch 3-13)
  • A.B: Practice Tests (1-4) and Final Exams
  • A.C: Data Sets
  • A.D: Group and Partner Projects
  • A.E: Solution Sheets
  • A.F: Mathematical Phrases, Symbols, and Formulas
  • A.G: Notes for the TI-83, 83+, 84, 84+ Calculators
  • A.H: Tables