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MyLab Statistics with Pearson eText (24 Months) for Basic Business Statistics

MyLab Statistics with Pearson eText (24 Months) for Basic Business Statistics

          
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About the Book

Table of Contents:
F. First Things First Using Statistics: Is the Price Right? FTF.1 Business Statistics Sidebar: Crossing Over FTF:.2 Talking About Data Sidebar: Secondary Data and Data Privacy FTF.3: Software Orientation Using Statistics: Is the Price Right? Revisited Summary Key Terms References Cases Excel Orientation JMP Orientation Minitab Orientation Tableau Orientation 1. Defining and Collecting Data Using Statistics: Collecting Some Defining Moments 1.1: Defining Data Sidebar: Failing at Statistics I 1.2: Populations, Samples, and Sampling 1.3: Types of Survey Errors Sidebar: Failing at Statistics II: What George Gallup Got Wrong 1.4: Data Cleaning 1.5: Data Wrangling Using Statistics: Collecting Some Defining Moments, Revisited Summary Key Terms Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide Tableau Guide 2. Tabular and Visual Summarization of Variables Using Statistics: “The Choice Is Yours” 2.1: Summarizing Categorical Variables as Tables 2.2: Summarizing Numerical Variables as Tables Sidebar: Excelling with Bins 2.3: Visualizing Categorical Variables 2.4: Visualizing Numerical Variables 2.5: Visualizing Two Numerical Variables 2.6: Summarizing Multiple Variables as Tables 2.7: Visualizing Multiple Variables 2.8: Filtering Variables 2.9: Pitfalls in Summarizing and Visualizing Variables Using Statistics: “The Choice Is Yours,” Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide Tableau Guide 3. Numerical Descriptive Measures Using Statistics:More Descriptive Choices 3.1: Measures of Central Tendency 3.2: Measures of Variation and Shape 3.3: Exploring Numerical Variables 3.4: Numerical Descriptive Measures for a Population 3.5: The Covariance and the Coefficient of Correlation 3.6: Descriptive Statistics: Pitfalls and Ethical Issues Using Statistics: More Descriptive Choices, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide Tableau Guide 4. Basic Probability Using Statistics: Probable Outcomes at Fredco Warehouse Club 4.1: Basic Probability Concepts 4.2: Conditional Probability 4.3: Bayes' Theorem Sidebar: Divine Providence and Spam 4.4: Counting Rules 4.5: Ethical Issues and Probability Using Statistics: Probable Outcomes at Fredco Warehouse Club, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 5. Discrete Probability Distributions Using Statistics: Events of Interest at Ricknel Home Centers 5.1: The Probability Distribution for a Discrete Variable 5.2: Binomial Distribution 5.3: Poisson Distribution 5.4: Covariance of a Probability Distribution and Its Application in Finance 5.5: Hypergeometric Distribution Using Statistics: Probable Events of Interest at Ricknel Home Centers, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 6. The Normal Distribution and Other Continuous Distributions Using Statistics: Normal Load Times for See+ Home Page 6.1: Continuous Probability Distributions 6.2: The Normal Distribution Visual Explorations: Exploring the Normal Distribution Sidebar: What is Normal? 6.3: Evaluating Normality 6.4: The Uniform Distribution 6.5: The Exponential Distribution 6.6: The Normal Approximation to the Binomial Distribution Using Statistics: Normal Load Times ... , Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 7. Sampling Distributions Using Statistics:Sampling Oxford Snacks 7.1: Sampling Distributions 7.2: Sampling Distribution of the Mean Visual Explorations: Exploring Sampling Distributions 7.3: Sampling Distribution of the Proportion 7.4: Sampling from Finite Populations Using Statistics: Sampling Oxford Snacks, Revisited Summary Sidebar: (Of) Chance Discoveries Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide MP Guide Minitab Guide 8. Confidence Interval Estimation Using Statistics: Getting Estimates at Ricknel Home Centers 8.1: Confidence Interval Estimate for the Mean (σ Known) 8.2: Confidence Interval Estimate for the Mean (σ Unknown) 8.3: Confidence Interval Estimate for the Proportion 8.4: Determining Sample Size 8.5: Confidence Interval Estimation and Ethical Issues 8.6: Confidence Interval Estimation in Auditing 8.7: Estimation and Sample Size Determination for Finite Populations 8.8: Bootstrapping Using Statistics: Getting Estimates at Ricknel Home Centers, Revisited Summary Sidebar: Errors About the “Margin of Error” in Polls Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 9. Fundamentals of Hypothesis Testing: One-Sample Tests Using Statistics: Significant Testing at Oxford Snacks Fundamentals of Hypothesis Testing: One-Sample Tests 9.1: Fundamentals of Hypothesis Testing 9.2: Hypothesis Test Approaches 9.3: t Test of Hypothesis for the Mean (σ Unknown) 9.4: One-Tail Tests 9.5: Z Test of Hypothesis for the Proportion 9.6: Potential Hypothesis-Testing Pitfalls and Ethical Issues 9.7: Power of the Test Using Statistics: Significant Testing at Oxford Snacks, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 10. Two-Sample Tests Using Statistics: Differing Means for Selling Smart TVs at Arlingtons? 10.1: Comparing the Means of Two Independent Populations 10.2: Comparing the Means of Two Related Populations 10.3: Comparing the Proportions of Two Independent Populations 10.4: F Test for the Ratio of Two Variances 10.5: Effect Size Using Statistics: Differing Means ....? Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 11. Analysis of Variance Using Statistics: The Means to Find Differences at Arlingtons 11.1: One-Way ANOVA 11.2: Two-Way ANOVA 11.3: The Randomized Block Design 11.4: Fixed Effects, Random Effects, and Mixed Effects Models Using Statistics: The Means to Find Differences at Arlingtons, Revisited Summary Sidebar: “Why can't you combine the pre- and post-hoc tests into one?” Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 12. Chi-Square and Nonparametric Tests Using Statistics: Making a Difference at T.C. Resorts 12.1: Chi-Square Test for the Difference Between Two Proportions 12.2: Chi-Square Test for Differences Among More Than Two Proportions 12.3: Chi-Square Test of Independence 12.4: Wilcoxon Rank Sum Test for Two Independent Populations 12.5: Kruskal-Wallis Rank Test for the One-Way ANOVA 12.6: McNemar Test for the Difference Between Two Proportions (Related Samples) 12.7: Chi-Square Test for the Variance or Standard Deviation 12.8: Wilcoxon Signed Ranks Test 12.9: Friedman Rank Test Using Statistics: Making a Difference at T.C. Resorts, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 13. Simple Linear Regression Using Statistics: Finding the Best Pattern at Sunflowers 13.1: Simple Linear Regression Models 13.2: Determining the Simple Linear Regression Equation Visual Explorations: Exploring Simple Linear Regression Coefficients 13.3: Measures of Variation 13.4: Evaluating Assumptions Using Residual Analysis 13.5: Measuring Autocorrelation: The Durbin-Watson Statistic 13.6: Inferences About the Slope and Correlation Coefficient 13.7: Estimation of Mean Values and Prediction of Individual Values 13.8: Potential Pitfalls in Regression Using Statistics: Finding the Best Pattern at Sunflowers, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide MP Guide Minitab Guide Tableau Guide 14. Introduction to Multiple Regression Using Statistics: Designing for Multiple Effects at Quick Value 14.1: Developing a Multiple Regression Model 14.2: Multiple Regression Residual Analysis 14.3: Evaluating Multiple Regression Models 14.4: Inferences About the Population Regression Coefficients 14.5: Testing Portions of the Multiple Regression Model 14.6: Using Dummy Variables and Interaction Terms Consider This: What Is Not Normal? (Using a categorical dependent variable) 14.7: The Quadratic Regression Model 14.8 Using Transformations in Regression Models 14.9: Influence Analysis Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 15. More Complex Multiple Regression Models Using Statistics: Valuing Parsimony at Nickels Online 15.1 Multicollinearity 15.2 Variable Selection 15.3 Automated Model Building and Selection 15.4 Overfit Models 15.5 Logistic Regression 15.6 Pitfalls in Multiple Regression and Ethical Issues Using Statistics: Valuing Parsimony …, Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 16. Time-Series Forecasting Using Statistics: Are Your Investment Advisers Trending? 16.1 Time-Series Component Factors 16.2 Smoothing an Annual Time Series is 16.3 Least-Squares Trend Fitting and Forecasting 16.4 Autoregressive Modeling for Trend Fitting and Forecasting 16.5 Choosing an Appropriate Forecasting Model to make 16.6 Time-Series Forecasting of Seasonal Data from 16.7 Index Numbers Sidebar: Let the Model User Beware Using Statistics: Are Your Investment Advisers Trending? Revisited Summary Key Terms Key Equations Checking Your Understanding Chapter Review Problems References Cases Excel Guide JMP Guide Minitab Guide 17. Business Analytics Using Statistics: Future Thinking at Stores of Value, Inc. 17.1 Business Analytics Overview Sidebar: What's My Major If I Want to Be a Data Miner? 17.2 Descriptive Analytics 17.3 Decision Trees 17.4 Clustering 17.5 Association Analysis 17.6 Text Analytics 17.7 Prescriptive Analytics Using Statistics: Future Thinking …, Revisited Summary Key Terms Checking Your Understanding References Software Guide for Chapter 17 18. Getting Ready to Analyze Data in the Future Using Statistics: Mounting Future Analyses 18.1 Analyzing Numerical Variables 18.2 Analyzing Categorical Variables Using Statistics: The Future to Be Visited Chapter Review Problems 19. Statistical Applications in Quality Management (online) Using Statistics: Finding Quality at the Beachcomber 19.1 The Theory of Control Charts 19.2 Control Chart for the Proportion: The p Chart 19.3 The Red Bead Experiment: Understanding Process Variability 19.4 Control Chart for an Area of Opportunity: The c Chart 19.5 Control Charts for the Range and the Mean 19.6 Process Capability 19.7 Total Quality Management 19.8 Six Sigma Using Statistics: Finding Quality at the Beachcomber, Revisited Summary Key Terms Key Equations Chapter Review Problems References Cases Excel Guide 20. Decision Making (online) Using Statistics: Reliable Decision Making 20.1 Payoff Tables and Decision Trees 20.2 Criteria for Decision Making 20.3 Decision Making with Sample Information 20.4 Utility Sidebar: Risky Business Using Statistics: Reliable Decision Making, Revisited Summary Key Terms Key Equations Chapter Review Problems References Cases Excel Guide APPENDICES A. Basic Math Concepts and Symbols B. Important Software Skills and Concepts C. Online Resources D. Configuring Software E. Table F. Useful Knowledge G. Software FAQs H. All About PHStat Self-Test Solutions and Answers to Selected Even-Numbered Problems Index


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Product Details
  • ISBN-13: 9780138069483
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Language: English
  • ISBN-10: 0138069484
  • Publisher Date: 15 Dec 2023
  • Binding: Digital online


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MyLab Statistics with Pearson eText (24 Months) for Basic Business Statistics
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