Essentials of Statistics for Business and Economics 9th edition

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• Chapter 1: Data and Statistics
  • 1.1: Applications in Business and Economics
  • 1.2: Data
  • 1.3: Data Sources
  • 1.4: Descriptive Statistics
  • 1.5: Statistical Inference
  • 1.6: Analytics
  • 1.7: Big Data and Data Mining
  • 1.8: Computers and Statistical Analysis
  • 1.9: Ethical Guidelines for Statistical Practice
  • 1: Supplementary Exercises
  • 1: Test Bank
  
  
• Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
  • 2.1: Summarizing Data for a Categorical Variable
  • 2.2: Summarizing Data for a Quantitative Variable
  • 2.3: Summarizing Data for Two Variables Using Tables
  • 2.4: Summarizing Data for Two Variables Using Graphical Displays
  • 2.5: Data Visualization: Best Practices in Creating Effective Graphical Displays
  • 2: Supplementary Exercises
  • 2: Exploring Statistics Applet Exercises
  • 2: JMP Statistics Applet Exercises
  • 2: Test Bank
  • 2: Test Bank
  
  
• Chapter 3: Descriptive Statistics: Numerical Measures
  • 3.1: Measures of Location
  • 3.2: Measures of Variability
  • 3.3: Measures of Distribution Shape, Relative Location, and Detecting Outliers
  • 3.4: Five-Number Summaries and Boxplots
  • 3.5: Measures of Association Between Two Variables
  • 3.6: Data Dashboards: Adding Numerical Measures to Improve Effectiveness
  • 3: Supplementary Exercises
  • 3: Exploring Statistics Applet Exercises
  • 3: JMP Statistics Applet Exercises
  • 3: Test Bank
  • 3: Test Bank
  
  
• Chapter 4: Introduction to Probability
  • 4.1: Random Experiments, Counting Rules, and Assigning Probabilities
  • 4.2: Events and Their Probabilities
  • 4.3: Some Basic Relationships of Probability
  • 4.4: Conditional Probability
  • 4.5: Bayes' Theorem
  • 4: Supplementary Exercises
  • 4: Exploring Statistics Applet Exercises
  • 4: Test Bank
  • 4: Test Bank
  
  
• Chapter 5: Discrete Probability Distributions
  • 5.1: Random Variables
  • 5.2: Developing Discrete Probability Distributions
  • 5.3: Expected Value and Variance
  • 5.4: Bivariate Distributions, Covariance, and Financial Portfolios
  • 5.5: Binomial Probability Distribution
  • 5.6: Poisson Probability Distribution
  • 5.7: Hypergeometric Probability Distribution
  • 5: Supplementary Exercises
  • 5: Exploring Statistics Applet Exercises
  • 5: Test Bank
  • 5: Test Bank
  
  
• Chapter 6: Continuous Probability Distributions
  • 6.1: Uniform Probability Distribution
  • 6.2: Normal Probability Distribution
  • 6.3: Normal Approximation of Binomial Probabilities
  • 6.4: Exponential Probability Distribution
  • 6: Supplementary Exercises
  • 6: Exploring Statistics Applet Exercises
  • 6: Test Bank
  • 6: Test Bank
  
  
• Chapter 7: Sampling and Sampling Distributions
  • 7.1: The Electronics Associates Sampling Problem
  • 7.2: Selecting a Sample
  • 7.3: Point Estimation
  • 7.4: Introduction to Sampling Distributions
  • 7.5: Sampling Distribution of x̄
  • 7.6: Sampling Distribution of p̄
  • 7.7: Properties of Point Estimators
  • 7.8: Other Sampling Methods
  • 7.9: Big Data and Standard Errors of Sampling Distributions
  • 7: Supplementary Exercises
  • 7: Test Bank
  • 7: Test Bank
  
  
• Chapter 8: Interval Estimation
  • 8.1: Population Mean: σ Known
  • 8.2: Population Mean: σ Unknown
  • 8.3: Determining the Sample Size
  • 8.4: Population Proportion
  • 8.5: Big Data and Confidence Intervals
  • 8: Supplementary Exercises
  • 8: Exploring Statistics Applet Exercises
  • 8: JMP Statistics Applet Exercises
  • 8: Test Bank
  • 8: Test Bank
  
  
• Chapter 9: Hypothesis Tests
  • 9.1: Developing Null and Alternative Hypotheses
  • 9.2: Type I and Type II Errors
  • 9.3: Population Mean: σ Known
  • 9.4: Population Mean: σ Unknown
  • 9.5: Population Proportion
  • 9.6: Hypothesis Testing and Decision Making
  • 9.7: Calculating the Probability of Type II Errors
  • 9.8: Determining the Sample Size for a Hypothesis Test About a Population Mean
  • 9.9: Big Data and Hypothesis Testing
  • 9: Supplementary Exercises
  • 9: Exploring Statistics Applet Exercises
  • 9: JMP Statistics Applet Exercises
  • 9: Test Bank
  • 9: Test Bank
  
  
• Chapter 10: Inference About Means and Proportions with Two Populations
  • 10.1: Inferences About the Difference Between Two Population Means: σ₁ and σ₂ Known
  • 10.2: Inferences About the Difference Between Two Population Means: σ₁ and σ₂ Unknown
  • 10.3: Inferences About the Difference Between Two Population Means: Matched Samples
  • 10.4: Inferences About the Difference Between Two Population Proportions
  • 10: Supplementary Exercises
  • 10: Exploring Statistics Applet Exercises
  • 10: JMP Statistics Applet Exercises
  • 10: Test Bank
  • 10: Test Bank
  
  
• Chapter 11: Inferences About Population Variances
  • 11.1: Inferences About a Population Variance
  • 11.2: Inferences About Two Population Variances
  • 11: Supplementary Exercises
  • 11: Exploring Statistics Applet Exercises
  • 11: Test Bank
  • 11: Test Bank
  
  
• Chapter 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit
  • 12.1: Testing the Equality of Population Proportions for Three or More Populations
  • 12.2: Test of Independence
  • 12.3: Goodness of Fit Test
  • 12: Supplementary Exercises
  • 12: Exploring Statistics Applet Exercises
  • 12: JMP Statistics Applet Exercises
  • 12: Test Bank
  • 12: Test Bank
  
  
• Chapter 13: Experimental Design and Analysis of Variance
  • 13.1: An Introduction to Experimental Design and Analysis of Variance
  • 13.2: Analysis of Variance and the Completely Randomized Design
  • 13.3: Multiple Comparison Procedures
  • 13.4: Randomized Block Design
  • 13.5: Factorial Experiment
  • 13: Supplementary Exercises
  • 13: Exploring Statistics Applet Exercises
  • 13: JMP Statistics Applet Exercises
  • 13: Test Bank
  • 13: Test Bank
  
  
• Chapter 14: Simple Linear Regression
  • 14.1: Simple Linear Regression Model
  • 14.2: Least Squares Method
  • 14.3: Coefficient of Determination
  • 14.4: Model Assumptions
  • 14.5: Testing for Significance
  • 14.6: Using the Estimated Regression Equation for Estimation and Prediction
  • 14.7: Computer Solution
  • 14.8: Residual Analysis: Validating Model Assumptions
  • 14.9: Residual Analysis: Outliers and Influential Observations
  • 14.10: Practical Advice: Big Data and Hypothesis Testing in Simple Linear Regression
  • 14: Supplementary Exercises
  • 14: Exploring Statistics Applet Exercises
  • 14: JMP Statistics Applet Exercises
  • 14: Test Bank
  • 14: Test Bank
  
  
• Chapter 15: Multiple Regression
  • 15.1: Multiple Regression Model
  • 15.2: Least Squares Method
  • 15.3: Multiple Coefficient of Determination
  • 15.4: Model Assumptions
  • 15.5: Testing for Significance
  • 15.6: Using the Estimated Regression Equation for Estimation and Prediction
  • 15.7: Categorical Independent Variables
  • 15.8: Residual Analysis
  • 15.9: Logistic Regression
  • 15.10: Practical Advice: Big Data and Hypothesis Testing in Multiple Regression
  • 15: Supplementary Exercises
  • 15: Test Bank
  • 15: Test Bank
  
  
• Chapter 8E: Additional Practice: 8th Edition
  • 8th Edition Chapter 1: Data and Statistics
  • 8th Edition Chapter 2: Descriptive Statistics: Tabular and Graphical Displays
  • 8th Edition Chapter 3: Descriptive Statistics: Numerical Measures
  • 8th Edition Chapter 4: Introduction to Probability
  • 8th Edition Chapter 5: Discrete Probability Distributions
  • 8th Edition Chapter 6: Continuous Probability Distributions
  • 8th Edition Chapter 7: Sampling and Sampling Distributions
  • 8th Edition Chapter 8: Interval Estimation
  • 8th Edition Chapter 9: Hypothesis Tests
  • 8th Edition Chapter 10: Inference About Means and Proportions with Two Populations
  • 8th Edition Chapter 11: Inferences About Population Variances
  • 8th Edition Chapter 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit
  • 8th Edition Chapter 13: Experimental Design and Analysis of Variance
  • 8th Edition Chapter 14: Simple Linear Regression
  • 8th Edition Chapter 15: Multiple Regression
  
  
• Chapter A: Appendix
  • A: Appendix E: Microsoft Excel 2016 and Tools for Statistical Analysis