Instant download Solution Manual for Business Statistics for Contemporary Decision Making 7th Edition by Black pdf docx epub after payment.
Product details:
- ISBN-10 : 1118024117
- ISBN-13 : 978-1118024119
- Author: Ken Black
Black, Business Statistics 7e is designed with one goal: to support student success in the Business Stats course. From the clear instruction, thorough explanations and real-data examples, the book is a pedagogically sound, reliable resource for students. With WileyPLUS online learning environment, which gives students a roadmap to personalized instruction by telling them what to do, how to do it and if they did it right, students have more ways to succeed with Black, Business Statistics 7e than ever before.
Table of contents:
- Cover Page
- Title Page
- Copyright
- Dedication
- Brief Contents
- Contents
- PREFACE
- CHANGES FOR THE SEVENTH EDITION
- VIDEOTAPE TUTORIALS BY KEN BLACK
- FEATURES AND BENEFITS
- WILEYPLUS
- ANCILLARY TEACHING AND LEARNING MATERIALS
- ACKNOWLEDGMENTS
- About the Author
- UNIT I: INTRODUCTION
- CHAPTER 1: Introduction to Statistics
- Statistics Describe the State of Business in India’s Countryside
- 1.1 STATISTICS IN BUSINESS
- 1.2 BASIC STATISTICAL CONCEPTS
- 1.3 VARIABLES AND DATA
- 1.4 DATA MEASUREMENT
- SUMMARY
- KEY TERMS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: DIGIORNO PIZZA: INTRODUCING A FROZEN PIZZA TO COMPETE WITH CARRY-OUT
- CHAPTER 2: Charts and Graphs
- Container Shipping Companies
- 2.1 FREQUENCY DISTRIBUTIONS
- 2.2 QUANTITATIVE DATA GRAPHS
- 2.3 QUALITATIVE DATA GRAPHS
- 2.4 CHARTS AND GRAPHS FOR TWO VARIABLES
- SUMMARY
- KEY TERMS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: SOAP COMPANIES DO BATTLE
- USING THE COMPUTER
- CHAPTER 3: Descriptive Statistics
- Laundry Statistics
- 3.1 MEASURES OF CENTRAL TENDENCY: UNGROUPED DATA
- 3.2 MEASURES OF VARIABILITY: UNGROUPED DATA
- 3.3 MEASURES OF CENTRAL TENDENCY AND VARIABILITY: GROUPED DATA
- 3.4 MEASURES OF SHAPE
- 3.5 DESCRIPTIVE STATISTICS ON THE COMPUTER
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: COCA-COLA DEVELOPS THE AFRICAN MARKET
- USING THE COMPUTER
- CHAPTER 4: Probability
- Equity of the Sexes in the Workplace
- 4.1 INTRODUCTION TO PROBABILITY
- 4.2 METHODS OF ASSIGNING PROBABILITIES
- 4.3 STRUCTURE OF PROBABILITY
- 4.4 MARGINAL, UNION, JOINT, AND CONDITIONAL PROBABILITIES
- 4.5 ADDITION LAWS
- 4.6 MULTIPLICATION LAWS
- 4.7 CONDITIONAL PROBABILITY
- 4.8 REVISION OF PROBABILITIES: BAYES’ RULE
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: COLGATE-PALMOLIVE MAKES A “TOTAL” EFFORT
- CHAPTER 1: Introduction to Statistics
- UNIT II: DISTRIBUTIONS AND SAMPLING
- CHAPTER 5: Discrete Distributions
- Life with a Cell Phone
- 5.1 DISCRETE VERSUS CONTINUOUS DISTRIBUTIONS
- 5.2 DESCRIBING A DISCRETE DISTRIBUTION
- 5.3 BINOMIAL DISTRIBUTION
- 5.4 POISSON DISTRIBUTION
- 5.5 HYPERGEOMETRIC DISTRIBUTION
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: WHOLE FOODS MARKET GROWS THROUGH MERGERS AND ACQUISITIONS
- USING THE COMPUTER
- CHAPTER 6: Continuous Distributions
- The Cost of Human Resources
- 6.1 THE UNIFORM DISTRIBUTION
- 6.2 NORMAL DISTRIBUTION
- 6.3 USING THE NORMAL CURVE TO APPROXIMATE BINOMIAL DISTRIBUTION PROBLEMS
- 6.4 EXPONENTIAL DISTRIBUTION
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: MERCEDES GOES AFTER YOUNGER BUYERS
- USING THE COMPUTER
- CHAPTER 7: Sampling and Sampling Distributions
- What Is the Attitude of Maquiladora Workers?
- 7.1 SAMPLING
- 7.2 SAMPLING DISTRIBUTION OF
- 7.3 SAMPLING DISTRIBUTION OF
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: SHELL ATTEMPTS TO RETURN TO PREMIERE STATUS
- USING THE COMPUTER
- CHAPTER 5: Discrete Distributions
- UNIT III: MAKING INFERENCES ABOUT POPULATION PARAMETERS
- CHAPTER 8: Statistical Inference: Estimation for Single Populations
- Compensation for Purchasing Managers
- 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
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: THE CONTAINER STORE
- USING THE COMPUTER
- CHAPTER 9: Statistical Inference: Hypothesis Testing for Single Populations
- Word-of-Mouth Business Referrals and Influentials
- 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
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: FRITO-LAY TARGETS THE HISPANIC MARKET
- USING THE COMPUTER
- 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, p 1 – p 2
- 10.5 TESTING HYPOTHESES ABOUT TWO POPULATION VARIANCES
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: SEITZ CORPORATION: PRODUCING QUALITY GEAR-DRIVEN AND LINEAR-MOTION PRODUCTS
- USING THE COMPUTER
- CHAPTER 11: Analysis of Variance and Design of Experiments
- Job and Career Satisfaction of Foreign Self-Initiated Expatriates
- 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)
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: THE CLARKSON COMPANY: A DIVISION OF TYCO INTERNATIONAL
- USING THE COMPUTER
- CHAPTER 8: Statistical Inference: Estimation for Single Populations
- UNIT IV: REGRESSION ANALYSIS AND FORECASTING
- CHAPTER 12: Simple Regression Analysis and Correlation
- Predicting International Hourly Wages by the Price of a Big Mac
- 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
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: DELTA WIRE USES TRAINING AS A WEAPON
- USING THE COMPUTER
- CHAPTER 13: Multiple Regression Analysis
- Are You Going to Hate Your New Job?
- 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 R 2
- 13.4 INTERPRETING MULTIPLE REGRESSION COMPUTER OUTPUT
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: STARBUCKS INTRODUCES DEBIT CARD
- USING THE COMPUTER
- CHAPTER 14: Building Multiple Regression Models
- Determining Compensation for CEOs
- 14.1 NONLINEAR MODELS: MATHEMATICAL TRANSFORMATION
- 14.2 INDICATOR (DUMMY) VARIABLES
- 14.3 MODEL-BUILDING: SEARCH PROCEDURES
- 14.4 MULTICOLLINEARITY
- 14.5 LOGISTIC REGRESSION
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: VIRGINIA SEMICONDUCTOR
- USING THE COMPUTER
- CHAPTER 15: Time-Series Forecasting and Index Numbers
- Forecasting Air Pollution
- 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
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: DEBOURGH MANUFACTURING COMPANY
- USING THE COMPUTER
- CHAPTER 12: Simple Regression Analysis and Correlation
- UNIT V: NONPARAMETRIC STATISTICS AND QUALITY
- CHAPTER 16: Analysis of Categorical Data
- Selecting Suppliers in the Electronics Industry
- 16.1 CHI-SQUARE GOODNESS-OF-FIT TEST
- 16.2 CONTINGENCY ANALYSIS: CHI-SQUARE TEST OF INDEPENDENCE
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASE
- CASE: FOOT LOCKER IN THE SHOE MIX
- USING THE COMPUTER
- CHAPTER 17: Nonparametric Statistics
- How Is the Doughnut Business?
- 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
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: SCHWINN
- USING THE COMPUTER
- CHAPTER 18: Statistical Quality Control
- Italy’s Piaggio Makes a Comeback
- 18.1 INTRODUCTION TO QUALITY CONTROL
- 18.2 PROCESS ANALYSIS
- 18.3 CONTROL CHARTS
- SUMMARY
- KEY TERMS
- FORMULAS
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: ROBOTRON-ELOTHERM
- USING THE COMPUTER
- CHAPTER 16: Analysis of Categorical Data
- APPENDIX A: Tables
- APPENDIX B: Answers to Selected Odd-Numbered Quantitative Problems
- GLOSSARY
- INDEX
- CHAPTER 19: Decision Analysis
- Decision Making at the CEO Level
- 19.1 THE DECISION TABLE AND DECISION MAKING UNDER CERTAINTY
- 19.2 DECISION MAKING UNDER UNCERTAINTY
- 19.3 DECISION MAKING UNDER RISK
- 19.4 REVISING PROBABILITIES IN LIGHT OF SAMPLE INFORMATION
- SUMMARY
- KEY TERMS
- FORMULA
- SUPPLEMENTARY PROBLEMS
- ANALYZING THE DATABASES
- CASE: FLETCHER-TERRY: ON THE CUTTING EDGE
- SUPPLEMENT 1: SUMMATION NOTATION
- SUPPLEMENT 2: DERIVATION OF SIMPLE REGRESSION FORMULAS FOR SLOPE AND Y INTERCEPT
- SUPPLEMENT 3: ADVANCED EXPONENTIAL SMOOTHING
- EXPONENTIAL SMOOTHING WITH TREND EFFECTS:: HOLT’s METHOD
- EXPONENTIAL SMOOTHING WITH BOTH TREND AND SEASONALITY:: WINTER’s METHOD
- SOME PRACTICE PROBLEMS
People also search:
Business Statistics for Contemporary Decision Making 7th Edition
Business Statistics for Contemporary Decision Making 7th Edition pdf
Business Statistics for Contemporary Decision Making
business statistics for contemporary decision making answer key
examples of statistics in business decision making