Introduction to Statistics and Data Analysis 5th edition

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• Chapter 1: The Role of Statistics and the Data Analysis Process
  • 1: Stats in Practice Video Questions
  • 1.1: Why Study Statistics?
  • 1.2: The Nature and Role of Variability
  • 1.3: Statistics and the Data Analysis Process
  • 1.4: Types of Data and Some Simple Graphical Displays
  • 1: Chapter Review
  • 1: Active Examples
  • 1: JMP Simulations
  • 1: Concept Questions
  • 1: Test Bank
  
  
• Chapter 2: Collecting Data Sensibly
  • 2: Stats in Practice Video Questions
  • 2.1: Statistical Studies: Observation and Experimentation
  • 2.2: Sampling
  • 2.3: Simple Comparative Experiments
  • 2.4: More on Experimental Design
  • 2.5: Interpreting and Communicating the Results of Statistical Analyses
  • 2: Chapter Review
  • 2: Active Examples
  • 2: Concept Questions
  • 2: Labs
  • 2: Test Bank
  
  
• Chapter 3: Graphical Methods for Describing Data
  • 3: Stats in Practice Video Question
  • 3.1: Displaying Categorical Data: Comparative Bar Charts and Pie Charts
  • 3.2: Displaying Numerical Data: Stem-and-Leaf Displays
  • 3.3: Displaying Numerical Data: Frequency Distributions and Histograms
  • 3.4: Displaying Bivariate Numerical Data
  • 3.5: Interpreting and Communicating the Results of Statistical Analyses
  • 3: Chapter Review
  • 3: Active Examples
  • 3: Cumulative Review Exercises
  • 3: JMP Simulations
  • 3: Concept Questions
  • 3: Labs
  • 3: Test Bank
  
  
• Chapter 4: Numerical Methods for Describing Data
  • 4: Stats in Practice Video Question
  • 4.1: Describing the Center of a Data Set
  • 4.2: Describing Variability in a Data Set
  • 4.3: Summarizing a Data Set: Boxplots
  • 4.4: Interpreting Center and Variability: Chebyshev's Rule, the Empirical Rule, and z Scores
  • 4.5: Interpreting and Communicating the Results of Statistical Analyses
  • 4: Chapter Review
  • 4: Active Examples
  • 4: JMP Simulations
  • 4: Concept Questions
  • 4: Labs
  • 4: Test Bank
  
  
• Chapter 5: Summarizing Bivariate Data
  • 5: Stats in Practice Video Question
  • 5.1: Correlation
  • 5.2: Linear Regression: Fitting a Line to Bivariate Data
  • 5.3: Assessing the Fit of a Line
  • 5.4: Nonlinear Relationships and Transformations
  • 5.5: Interpreting and Communicating the Results of Statistical Analyses
  • 5: Chapter Review
  • 5: Active Examples
  • 5: Cumulative Review Exercises
  • 5: JMP Simulations
  • 5: Concept Questions
  • 5: Labs
  • 5: Test Bank
  
  
• Chapter 6: Probability
  • 6: Stats in Practice Video Question
  • 6.1: Chance Experiments and Events
  • 6.2: Definition of Probability
  • 6.3: Basic Properties of Probability
  • 6.4: Conditional Probability
  • 6.5: Independence
  • 6.6: Some General Probability Rules
  • 6.7: Estimating Probabilities Empirically Using Simulation
  • 6: Chapter Review
  • 6: Active Examples
  • 6: Concept Questions
  • 6: Labs
  • 6: Test Bank
  
  
• Chapter 7: Random Variables and Probability Distributions
  • 7: Stats in Practice Video Question
  • 7.1: Random Variables
  • 7.2: Probability Distributions for Discrete Random Variables
  • 7.3: Probability Distributions for Continuous Random Variables
  • 7.4: Mean and Standard Deviation of a Random Variable
  • 7.5: Binomial and Geometric Distributions
  • 7.6: Normal Distributions
  • 7.7: Checking for Normality and Normalizing Transformations
  • 7.8: Using the Normal Distribution to Approximate a Discrete Distribution
  • 7: Chapter Review
  • 7: Active Examples
  • 7: Cumulative Review Exercises
  • 7: JMP Simulations
  • 7: Concept Questions
  • 7: Labs
  • 7: Test Bank
  
  
• Chapter 8: Sampling Variability and Sampling Distributions
  • 8: Stats in Practice Video Question
  • 8.1: Statistics and Sampling Variability
  • 8.2: The Sampling Distribution of a Sample Mean
  • 8.3: The Sampling Distribution of a Sample Proportion
  • 8: Chapter Review
  • 8: Active Examples
  • 8: Concept Questions
  • 8: Labs
  • 8: Test Bank
  
  
• Chapter 9: Estimation Using a Single Sample
  • 9: Stats in Practice Video Question
  • 9.1: Point Estimation
  • 9.2: Large-Sample Confidence Interval for a Population Proportion
  • 9.3: Confidence Interval for Population Mean
  • 9.4: Interpreting and Communicating the Results of Statistical Analyses
  • 9: Chapter Review
  • 9: Active Examples
  • 9: JMP Simulations
  • 9: Concept Questions
  • 9: Labs
  • 9: Test Bank
  
  
• Chapter 10: Hypothesis Testing Using a Single Sample
  • 10: Stats in Practice Video Question
  • 10.1: Hypotheses and Test Procedures
  • 10.2: Errors in Hypotheses Testing
  • 10.3: Large-Sample Hypothesis Tests for a Population Proportion
  • 10.4: Hypothesis Tests for a Population Mean
  • 10.5: Power and Probability of Type II Error
  • 10.6: Interpreting and Communicating the Results of Statistical Analyses
  • 10: Chapter Review
  • 10: Active Examples
  • 10: Cumulative Review Exercises
  • 10: JMP Simulations
  • 10: Concept Questions
  • 10: Labs
  • 10: Test Bank
  
  
• Chapter 11: Comparing Two Populations or Treatments
  • 11: Stats in Practice Video Question
  • 11.1: Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples
  • 11.2: Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples
  • 11.3: Large-Sample Inferences Concerning a Difference Between Two Population or Treatment Proportions
  • 11.4: Interpreting and Communicating the Results of Statistical Analyses
  • 11: Chapter Review
  • 11: Active Examples
  • 11: JMP Simulations
  • 11: Concept Questions
  • 11: Labs
  • 11: Test Bank
  
  
• Chapter 12: The Analysis of Categorical Data and Goodness-of-Fit Tests
  • 12: Stats in Practice Video Question
  • 12.1: Chi-Square Tests for Univariate Data
  • 12.2: Tests for Homogeneity and Independence in a Two-way Table
  • 12.3: Interpreting and Communicating the Results of Statistical Analyses
  • 12: Chapter Review
  • 12: Active Examples
  • 12: JMP Simulations
  • 12: Concept Questions
  • 12: Labs
  • 12: Test Bank
  
  
• Chapter 13: Simple Linear Regression and Correlation: Inferential Methods
  • 13: Stats in Practice Video Question
  • 13.1: Simple Linear Regression Model
  • 13.2: Inferences About the Slope of the Population Regression Line
  • 13.3: Checking Model Adequacy
  • 13.4: Inferences Based on the Estimated Regression Line
  • 13.5: Inferences About the Population Correlation Coefficient
  • 13.6: Interpreting and Communicating the Results of Statistical Analyses
  • 13: Chapter Review
  • 13: Active Examples
  • 13: Cumulative Review Exercises
  • 13: JMP Simulations
  • 13: Concept Questions
  • 13: Labs
  • 13: Test Bank
  
  
• Chapter 14: Multiple Regression Analysis
  • 14: Stats in Practice Video Question
  • 14.1: Multiple Regression Models
  • 14.2: Fitting a Model and Assessing Its Utility
  • 14.3: Inferences Based on an Estimated Model
  • 14.4: Other Issues in Multiple Regression
  • 14.5: Interpreting and Communicating the Results of Statistical Analyses
  • 14: Chapter Review
  • 14: Active Examples
  • 14: Concept Questions
  • 14: Labs
  • 14: Test Bank
  
  
• Chapter 15: Analysis of Variance
  • 15: Stats in Practice Video Question
  • 15.1: Single-Factor ANOVA and the F Test
  • 15.2: Multiple Comparisons
  • 15.3: The F Test for a Randomized Block Experiment
  • 15.4: Two-Factor ANOVA
  • 15.5: Interpreting and Communicating the Results of Statistical Analyses
  • 15: Chapter Review
  • 15: Active Examples
  • 15: JMP Simulations
  • 15: Concept Questions
  • 15: Labs
  • 15: Test Bank
  
  
• Chapter 16: Nonparametric (Distribution-Free) Statistical Methods
  • 16: Stats in Practice Video Question
  • 16.1: Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Independent Samples
  • 16.2: Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Paired Samples
  • 16.3: Distribution-Free ANOVA
  • 16: Chapter Review
  • 16: Active Examples
  • 16: Concept Questions
  • 16: Test Bank
  
  
• Chapter PJT: Project
  • PJT.1: Project