Introduction to Probability and Statistics 15th edition

Access is contingent on use of this textbook in the instructor's classroom.

• Chapter 1: Describing Data With Graphs
  • 1: Concept Explorations
  • 1.1: Variables and Data
  • 1.2: Graphs for Categorical Data
  • 1.3: Graphs for Quantitative Data
  • 1.4: Relative Frequency Histograms
  • 1: Chapter Review
  • 1: Multiple Choice Exercises
  • 1: JMP Simulations
  • 1: Concept Questions
  • 1: Labs
  • 1: Test Bank
  • 1: Labs
  • 1: Test Bank
  
  
• Chapter 2: Describing Data With Numerical Measures
  • 2: Concept Explorations
  • 2.1: Measures of Center
  • 2.2: Measures of Variability
  • 2.3: Understanding and Interpreting the Standard Deviation
  • 2.4: Measures of Relative Standing
  • 2: Chapter Review
  • 2: Multiple Choice Exercises
  • 2: JMP Simulations
  • 2: Concept Questions
  • 2: Labs
  • 2: Test Bank
  • 2: Labs
  • 2: Test Bank
  
  
• Chapter 3: Describing Bivariate Data
  • 3: Concept Explorations
  • 3.1: Describing Bivariate Categorical Data
  • 3.2: Describing Bivariate Quantitative Data
  • 3: Chapter Review
  • 3: Multiple Choice Exercises
  • 3: JMP Simulations
  • 3: Concept Questions
  • 3: Labs
  • 3: Test Bank
  • 3: Labs
  • 3: Test Bank
  
  
• Chapter 4: Probability
  • 4: Concept Explorations
  • 4.1: Events and the Sample Space
  • 4.2: Calculating Probabilities Using Simple Events
  • 4.3: Useful Counting Rules
  • 4.4: Rules for Calculating Probabilities
  • 4.5: Bayes' Rule
  • 4: Chapter Review
  • 4: Multiple Choice Exercises
  • 4: Concept Questions
  • 4: Labs
  • 4: Test Bank
  
  
• Chapter 5: Discrete Probability Distributions
  • 5: Concept Explorations
  • 5.1: Discrete Random Variables and Their Probability Distributions
  • 5.2: The Binomial Probability Distribution
  • 5.3: The Poisson Probability Distribution
  • 5.4: The Hypergeometric Probability Distribution
  • 5: Chapter Review
  • 5: Multiple Choice Exercises
  • 5: Concept Questions
  • 5: Labs
  • 5: Test Bank
  • 5: Labs
  • 5: Test Bank
  
  
• Chapter 6: The Normal Probability Distribution
  • 6: Concept Explorations
  • 6.1: Probability Distributions for Continuous Random Variables
  • 6.2: The Normal Probability Distribution
  • 6.3: The Normal Approximation to the Binomial Probability Distribution
  • 6: Chapter Review
  • 6: Multiple Choice Exercises
  • 6: JMP Simulations
  • 6: Concept Questions
  • 6: Labs
  • 6: Test Bank
  • 6: Labs
  • 6: Test Bank
  
  
• Chapter 7: Sampling Distributions
  • 7: Concept Explorations
  • 7.1: Sampling Plans and Experimental Designs
  • 7.2: Statistics and Sampling Distributions
  • 7.3: The Central Limit Theorem and the Sample Mean
  • 7.4: Assessing Normality
  • 7.5: The Sampling Distribution of the Sample Proportion
  • 7.6: A Sampling Application: Statistical Process Control (Optional)
  • 7: Chapter Review
  • 7: Multiple Choice Exercises
  • 7: Concept Questions
  • 7: Labs
  • 7: Test Bank
  
  
• Chapter 8: Large-Sample Estimation
  • 8: Concept Explorations
  • 8.1: Where We've Been and Where We're Going
  • 8.2: Point Estimation
  • 8.3: Interval Estimation
  • 8.4: Estimating the Difference between Two Population Means
  • 8.5: Estimating the Difference between Two Binomial Proportions
  • 8.6: One-Sided Confidence Bounds
  • 8.7: Choosing the Sample Size
  • 8: Chapter Review
  • 8: Multiple Choice Exercises
  • 8: JMP Simulations
  • 8: Concept Questions
  • 8: Labs
  • 8: Test Bank
  • 8: Labs
  • 8: Test Bank
  
  
• Chapter 9: Large-Sample Tests of Hypotheses
  • 9: Concept Explorations
  • 9.1: A Statistical Test of Hypothesis
  • 9.2: A Large-Sample Test About a Population Mean
  • 9.3: A Large-Sample Test of Hypothesis for the Difference Between Two Population Means
  • 9.4: A Large-Sample Test of Hypothesis for a Binomial Proportion
  • 9.5: A Large-Sample Test of Hypothesis for the Difference Between Two Binomial Proportions
  • 9.6: Concluding Comments on Testing Hypotheses
  • 9: Chapter Review
  • 9: Multiple Choice Exercises
  • 9: JMP Simulations
  • 9: Concept Questions
  • 9: Labs
  • 9: Test Bank
  • 9: Labs
  • 9: Test Bank
  
  
• Chapter 10: Inference From Small Samples
  • 10: Concept Explorations
  • 10.1: Student's t Distribution
  • 10.2: Small-Sample Inferences Concerning a Population Mean
  • 10.3: Small-Sample Inferences for the Difference Between Two Population Means: Independent Random Samples
  • 10.4: Small-Sample Inferences for the Difference Between Two Means: A Paired-Difference Test
  • 10.5: Inferences Concerning a Population Variance
  • 10.6: Comparing Two Population Variances
  • 10.7: Revisiting the Small-Sample Assumptions
  • 10: Chapter Review
  • 10: Multiple Choice Exercises
  • 10: JMP Simulations
  • 10: Concept Questions
  • 10: Labs
  • 10: Test Bank
  • 10: Labs
  • 10: Test Bank
  
  
• Chapter 11: The Analysis of Variance
  • 11: Concept Explorations
  • 11.1: The Design of an Experiment
  • 11.2: The Completely Randomized Design: A One-Way Classification
  • 11.3: Ranking Population Means
  • 11.4: The Randomized Block Design: A Two-Way Classification
  • 11.5: The a ⨯ b Factorial Experiment: A Two-Way Classification
  • 11.6: Revisiting the Analysis of Variance Assumptions
  • 11.7: A Brief Summary
  • 11: Chapter Review
  • 11: Multiple Choice Exercises
  • 11: JMP Simulations
  • 11: Concept Questions
  • 11: Labs
  • 11: Test Bank
  
  
• Chapter 12: Simple Linear Regression And Correlation
  • 12: Concept Explorations
  • 12.1: Simple Linear Regression
  • 12.2: An Analysis of Variance for Linear Regression
  • 12.3: Testing the Usefulness of the Linear Regression Model
  • 12.4: Diagnostic Tools for Checking the Regression Assumptions
  • 12.5: Estimation and Prediction Using the Fitted Line
  • 12.6: Correlation Analysis
  • 12: Chapter Review
  • 12: Multiple Choice Exercises
  • 12: JMP Simulations
  • 12: Concept Questions
  • 12: Labs
  • 12: Test Bank
  • 12: Labs
  • 12: Test Bank
  
  
• Chapter 13: Multiple Linear Regression Analysis
  • 13: Concept Explorations
  • 13.1: The Multiple Regression Model
  • 13.2: Multiple Regression Analysis
  • 13.3: A Polynomial Regression Model
  • 13.4: Using Quantitative and Qualitative Predictor Variables in a Regression Model
  • 13.5: Testing Sets of Regression Coefficients
  • 13.6: Other Topics in Multiple Linear Regression
  • 13.7: Steps to Follow When Building a Multiple Regression Model
  • 13: Chapter Review
  • 13: Multiple Choice Exercises
  • 13: JMP Simulations
  • 13: Concept Questions
  • 13: Labs
  • 13: Test Bank
  
  
• Chapter 14: Analysis of Categorical Data
  • 14: Concept Explorations
  • 14.1: The Multinomial Experiment and the Chi-Square Statistic
  • 14.2: Testing Specified Cell Probabilities: The Goodness-of-Fit Test
  • 14.3: Contingency Tables: A Two-Way Classification
  • 14.4: Comparing Several Multinomial Populations: A Two-Way Classification with Fixed Row or Column Totals
  • 14.5: Other Topics in Categorical Data Analysis
  • 14: Chapter Review
  • 14: Multiple Choice Exercises
  • 14: JMP Simulations
  • 14: Concept Questions
  • 14: Labs
  • 14: Test Bank
  
  
• Chapter 15: Nonparametric Statistics
  • 15: Concept Explorations
  • 15.1: The Wilcoxon Rank Sum Test: Independent Random Samples
  • 15.2: The Sign Test for a Paired Experiment
  • 15.3: A Comparison of Statistical Tests
  • 15.4: The Wilcoxon Signed-Rank Test for a Paired Experiment
  • 15.5: The Kruskal–Wallis H-Test for Completely Randomized Designs
  • 15.6: The Friedman F_r-Test for Randomized Block Designs
  • 15.7: Rank Correlation Coefficient
  • 15.8: Summary
  • 15: Chapter Review
  • 15: Multiple Choice Exercises
  • 15: Concept Questions
  • 15: Labs
  • 15: Test Bank
  
  
• Chapter PJT: Project
  • PJT.1: Project