Business Statistics: For Contemporary Decision Making, International Adaptation

Höfundur: Ken Black (Útgáfa: 11)
Business Statistics: For Contemporary Decision Making, International Adaptation

Kaup valmöguleikar

Business Statistics uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make more thoughtful, information-based decisions in today's workplace. Helping the student understand business analytics and the role that business statistics plays in it, the book has infused the language of business analytics along with its definitions, approaches, and explanations throughout the text.

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Útgefandi
Wiley Global Education US
ISBN
9781119889670
Print ISBN
9781119889663
Format
ePub
Útgáfa
11
Höfundar
Ken Black
Tungumál
English
Útgefið
2024-04-29
Prent takmörkun á líftíma
100
Prent takmörkun
10
Afritunar takmörkun
2
Flokkar
Hagfræði

Kaflar

  • Cover
  • Business Statistics For Contemporary Decision-Making
  • Copyright
  • Dedication
  • About the Author
  • Preface
  • Chapter 1: Introduction to Statistics and Business Analytics
  • 1.1 Basic Statistical Concepts
  • 1.2 Data Measurement
  • 1.3 Introduction to Business Analytics
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnotes
  • Chapter 2: Visualizing Data with Charts and Graphs
  • 2.1 Frequency Distributions
  • 2.2 Measures of Variability
  • 2.3 Qualitative Data Graphs
  • 2.4 Charts and Graphs for Two Variables
  • 2.5 Visualizing Time-Series Data
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnotes
  • Chapter 3: Descriptive Statistics
  • 3.1 Measures of Central Tendency
  • 3.2 Measures of Variability
  • 3.3 Measures of Shape
  • 3.4 Business Analytics Using Descriptive Statistics
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnotes
  • Chapter 4: Probability
  • 4.1 Introduction to Probability
  • 4.2 Structure of Probability
  • 4.3 Marginal, Union, Joint, and Conditional Probabilities
  • 4.4 Addition Laws
  • 4.5 Multiplication Laws
  • 4.6 Conditional Probability
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Chapter 5: Discrete Random Variables and Their Probability Distributions
  • 5.1 Discrete Random Variables
  • 5.2 Describing a Discrete Distribution
  • 5.3 Binomial Distribution
  • 5.4 Poisson Distribution
  • 5.5 Geometric Distribution
  • 5.6 Hypergeometric Distribution
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnote
  • Chapter 6: Continuous Random Variables and Normal Distributions
  • 6.1 Continuous Random Variables
  • 6.2 The Uniform Distribution
  • 6.3 Normal Distribution
  • 6.4 Using the Normal Curve to Approximate Binomial Distribution Problems
  • 6.5 Exponential Distribution
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnotes
  • Chapter 7: Sampling and Sampling Distributions
  • 7.1 Sampling
  • 7.2 Sampling Distribution of the Sample Mean
  • 7.3 Sampling Distribution of a Sample Proportion
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnotes
  • Chapter 8: Statistical Inference: Estimation for Single Populations
  • 8.1 Estimating the Population Mean Using the z Statistic (σ Known)
  • 8.2 Estimating the Population Mean Using the t Statistic (σ Unknown)
  • 8.3 Estimating the Population Proportion
  • 8.4 Estimating the Population Variance
  • 8.5 Estimating Sample Size
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnotes
  • Chapter 9: Statistical Inference: Hypothesis Testing for Single Populations
  • 9.1 Introduction to Hypothesis Testing
  • 9.2 Testing Hypotheses About a Population Mean Using the z Statistic (σ Known)
  • 9.3 Testing Hypotheses About a Population Mean Using the t Statistic (σ Unknown)
  • 9.4 Testing Hypotheses About a Proportion
  • 9.5 Testing Hypotheses About a Variance
  • 9.6 Solving for Type II Errors
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnotes
  • Chapter 10: Statistical Inferences About Two Populations
  • 10.1 Hypothesis Testing and Confidence Intervals About the Difference in Two Means Using the z Statistic (Population Variances Known)
  • 10.2 Hypothesis Testing and Confidence Intervals About the Difference in Two Means: Independent Samples and Population Variances Unknown
  • 10.3 Statistical Inferences for Two Related Populations
  • 10.4 Statistical Inferences About Two Population Proportions, p1 − p2
  • 10.5 Testing Hypotheses About Two Population Variances
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnotes
  • Chapter 11: Analysis of Variance and Design of Experiments
  • 11.1 Introduction to Design of Experiments
  • 11.2 The Completely Randomized Design (One-Way ANOVA)
  • 11.3 Multiple Comparison Tests
  • 11.4 The Randomized Block Design
  • 11.5 A Factorial Design (Two-Way ANOVA)
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnotes
  • Chapter 12: Simple Regression Analysis and Correlation
  • 12.1 Correlation
  • 12.2 Introduction to Simple Regression Analysis
  • 12.3 Determining the Equation of the Regression Line
  • 12.4 Residual Analysis
  • 12.5 Standard Error of the Estimate
  • 12.6 Coefficient of Determination
  • 12.7 Hypothesis Tests for the Slope of the Regression Model and Testing the Overall Model
  • 12.8 Estimation
  • 12.9 Using Regression to Develop a Forecasting Trend Line
  • 12.10 Interpreting the Output
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnote
  • Chapter 13: Multiple Regression Analysis
  • 13.1 The Multiple Regression Model
  • 13.2 Significance Tests of the Regression Model and Its Coefficients
  • 13.3 Residuals, Standard Error of the Estimate, and R2
  • 13.4 Interpreting Multiple Regression Computer Output
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Chapter 14: Building Multiple Regression Models
  • 14.1 Nonlinear Models: Mathematical Transformation
  • 14.2 Indicator (Dummy) Variables
  • 14.3 Model-Building: Search Procedures
  • 14.4 Multicollinearity
  • 14.5 Logistic Regression
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnotes
  • Chapter 15: Time-Series Forecasting and Index Numbers
  • 15.1 Introduction to Forecasting
  • 15.2 Smoothing Techniques
  • 15.3 Trend Analysis
  • 15.4 Seasonal Effects
  • 15.5 Autocorrelation and Autoregression
  • 15.6 Index Numbers
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Chapter 16: Analysis of Categorical Data
  • 16.1 Chi-Square Goodness-of-Fit Test
  • 16.2 Contingency Analysis: Chi-Square Test of Independence
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Chapter 17: Nonparametric Statistics
  • 17.1 Runs Test
  • 17.2 Mann-Whitney U Test
  • 17.3 Wilcoxon Matched-Pairs Signed Rank Test
  • 17.4 Kruskal-Wallis Test
  • 17.5 Friedman Test
  • 17.6 Spearman’s Rank Correlation
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Chapter 18: Statistical Quality Control
  • 18.1 Introduction to Quality Control
  • 18.2 Process Analysis
  • 18.3 Control Charts
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Endnotes
  • Chapter 19: Decision Analysis
  • 19.1 Revision of Probabilities: Bayes’ Rule
  • 19.2 The Decision Table and Decision-Making Under Certainty
  • 19.3 Decision-Making Under Uncertainty
  • 19.4 Decision-Making Under Risk
  • 19.5 Revising Probabilities in Light of Sample Information
  • Decision Dilemma Solved
  • Ethical Considerations
  • Summary
  • Key Terms
  • Formulas
  • Supplementary Problems
  • Exploring the Databases with Business Analytics
  • Chapter Case
  • Big Data Case
  • Appendix A: Tables
  • Glossary
  • Index
  • Wiley End User License Agreement