Basic business statistics concepts and applications. / / Mark L Berenson, David Levine, Kathryn A. Szabat

• Autore: Berenson Mark L.
• Pubblicazione: Harlow, England : , : Pearson Education, Limited, , [2015]; ©2015
• Edizione: Thirteenth edition, global edition.
• Descrizione fisica: 1 online resource (840 pages) : illustrations
• Disciplina: 519.5
• Soggetto topico: Mathematical statistics; Commercial statistics
• Persona (resp. second.): SzabatKathryn A.; LevineDavid M. <1946->
• Note generali: Includes index.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Cover -- Title -- Copyright -- Contents -- Preface -- Getting Started: Important Things to Learn First -- USING STATISTICS: "You Cannot Escape from Data" -- GS.1 Statistics: A Way of Thinking -- GS.2 Data: What Is It? -- GS.3 Business Analytics: The Changing Face of Statistics -- "Big Data" -- Statistics: An Important Part of Your Business Education -- GS.4 Software and Statistics -- Excel and Minitab Guides -- REFERENCES -- KEY TERMS -- EXCEL GUIDE -- EG1. Getting Started with Microsoft Excel -- EG2. Entering Data -- EG3. Opening and Saving Workbooks -- EG4. Creating and Copying Worksheets -- EG5. Printing Worksheets -- MINITAB GUIDE -- MG1. Getting Started with Minitab -- MG2. Entering Data -- MG3. Opening and Saving Worksheets and Projects -- MG4. Creating and Copying Worksheets -- MG5. Printing Parts of a Project -- 1 Defining and Collecting Data -- USING STATISTICS: Beginning of the End ... Or the End of the Beginning? -- 1.1 Defining Data -- Establishing the Variable Type -- 1.2 Measurement Scales for Variables -- Nominal and Ordinal Scales -- Interval and Ratio Scales -- 1.3 Collecting Data -- Data Sources -- Populations and Samples -- Data Formatting -- Data Cleaning -- Recoding Variables -- 1.4 Types of Sampling Methods -- Simple Random Sample -- Systematic Sample -- Stratified Sample -- Cluster Sample -- 1.5 Types of Survey Errors -- Coverage Error -- Nonresponse Error -- Sampling Error -- Measurement Error -- Ethical Issues About Surveys -- THINK ABOUT THIS: New Media Surveys/Old Sampling Problems -- USING STATISTICS: Beginning of the End ... Revisited -- SUMMARY -- REFERENCES -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 1 -- Managing Ashland MultiComm Services -- CardioGood Fitness -- Clear Mountain State Student Surveys -- Learning with the Digital Cases -- CHAPTER 1 EXCEL GUIDE. ; EG1.1 Defining Data -- EG1.2 Measurement Scales for Variables -- EG1.3 Collecting Data -- EG1.4 Types of Sampling Methods -- CHAPTER 1 MINITAB GUIDE -- MG1.1 Defining Data -- MG1.2 Measurement Scales for Variables -- MG1.3 Collecting Data -- MG1.4 Types of Sampling Methods -- 2 Organizing and Visualizing Variables -- USING STATISTICS: The Choice Is Yours -- How to Proceed with This Chapter -- 2.1 Organizing Categorical Variables -- The Summary Table -- The Contingency Table -- 2.2 Organizing Numerical Variables -- The Ordered Array -- The Frequency Distribution -- Classes and Excel Bins -- The Relative Frequency Distribution and the Percentage Distribution -- The Cumulative Distribution -- Stacked and Unstacked Data -- 2.3 Visualizing Categorical Variables -- The Bar Chart -- The Pie Chart -- The Pareto Chart -- The Side-by-Side Bar Chart -- 2.4 Visualizing Numerical Variables -- The Stem-and-Leaf Display -- The Histogram -- The Percentage Polygon -- The Cumulative Percentage Polygon (Ogive) -- 2.5 Visualizing Two Numerical Variables -- The Scatter Plot -- The Time-Series Plot -- 2.6 Organizing Many Categorical Variables -- 2.7 Challenges in Organizing and Visualizing Variables -- Obscuring Data -- Creating False Impressions -- Chartjunk -- Guidelines for Constructing Visualizations -- USING STATISTICS: The Choice Is Yours, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 2 -- Managing Ashland MultiComm Services -- Digital Case -- CardioGood Fitness -- The Choice Is Yours Follow-Up -- Clear Mountain State Student Surveys -- CHAPTER 2 EXCEL GUIDE -- EG2.1 Organizing Categorical Variables -- EG2.2 Organizing Numerical Variables -- EG2.3 Visualizing Categorical Variables -- EG2.4 Visualizing Numerical Variables -- EG2.5 Visualizing Two Numerical Variables. ; EG2.6 Organizing Many Categorical Variables -- CHAPTER 2 MINITAB GUIDE -- MG2.1 Organizing Categorical Variables -- MG2.2 Organizing Numerical Variables -- MG2.3 Visualizing Categorical Variables -- MG2.4 Visualizing Numerical Variables -- MG2.5 Visualizing Two Numerical Variables -- MG2.6 Organizing Many Categorical Variables -- 3 Numerical Descriptive Measures -- USING STATISTICS: More Descriptive Choices -- 3.1 Central Tendency -- The Mean -- The Median -- The Mode -- The Geometric Mean -- 3.2 Variation and Shape -- The Range -- The Variance and the Standard Deviation -- The Coefficient of Variation -- Z Scores -- Shape: Skewness and Kurtosis -- VISUAL EXPLORATIONS: Exploring Descriptive Statistics -- 3.3 Exploring Numerical Data -- Quartiles -- The Boxplot -- 3.4 Numerical Descriptive Measures for a Population -- The Population Mean -- The Population Variance and Standard Deviation -- The Empirical Rule -- The Chebyshev Rule -- 3.5 The Covariance and the Coefficient of Correlation -- The Covariance -- The Coefficient of Correlation -- 3.6 Descriptive Statistics: Pitfalls and Ethical Issues -- USING STATISTICS: More Descriptive Choices, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 3 -- Managing Ashland MultiComm Services -- Digital Case -- CardioGood Fitness -- More Descriptive Choices Follow-up -- Clear Mountain State Student Surveys -- CHAPTER 3 EXCEL GUIDE -- EG3.1 Central Tendency -- EG3.2 Variation and Shape -- EG3.3 Exploring Numerical Data -- MG3.4 Numerical Descriptive Measures for a Population -- MG3.5 The Covariance and the Coefficient of Correlation -- CHAPTER 3 MINITAB GUIDE -- MG3.1 Central Tendency -- EG3.2 Variation and Shape -- MG3.3 Exploring Numerical Data -- MG3.4 Numerical Descriptive Measures for a Population. ; MG3.5 The Covariance and the Coefficient of Correlation -- 4 Basic Probability -- USING STATISTICS: Possibilities at M&R Electronics World -- 4.1 Basic Probability Concepts -- Events and Sample Spaces -- Contingency Tables and Venn Diagrams -- Simple Probability -- Joint Probability -- Marginal Probability -- General Addition Rule -- 4.2 Conditional Probability -- Computing Conditional Probabilities -- Decision Trees -- Independence -- Multiplication Rules -- Marginal Probability Using the General Multiplication Rule -- 4.3 Bayes' Theorem -- THINK ABOUT THIS: Divine Providence and Spam -- 4.4 Counting Rules -- 4.5 Ethical Issues and Probability -- USING STATISTICS: Possibilities at M&R Electronics World, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 4 -- Digital Case -- CardioGood Fitness -- The Choice Is Yours Follow-Up -- Clear Mountain State Student Surveys -- CHAPTER 4 EXCEL GUIDE -- EG4.1 Basic Probability Concepts -- EG4.2 C onditional Probability -- EG4.3 Bayes' Theorem -- EG4.4 C ounting Rules -- CHAPTER 4 MINITAB GUIDE -- MG4.1 B asic Probability Concepts -- MG4.2 Conditional Probability -- MG4.3 B ayes' Theorem -- MG4.4 Counting Rules -- 5 Discrete Probability Distributions -- USING STATISTICS: Events of Interest at Ricknel Home Centers -- 5.1 The Probability Distribution for a Discrete Variable -- Expected Value of a Discrete Variable -- Variance and Standard Deviation of a Discrete Variable -- 5.2 Covariance of a Probability Distribution and Its Application in Finance -- Covariance -- Expected Value, Variance, and Standard Deviation of the Sum of Two Variables -- Portfolio Expected Return and Portfolio Risk -- 5.3 Binomial Distribution -- 5.4 Poisson Distribution -- 5.5 Hypergeometric Distribution. ; 5.6 Using the Poisson Distribution to Approximate the Binomial Distribution (online) -- 5.5 Hypergeometric Distribution -- USING STATISTICS: Events of Interest at Ricknel Homecenters, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 5 -- Managing Ashland MultiComm Services -- Digital Case -- Chapter 5 Excel Guide -- EG5.1 The Probability Distribution for a Discrete Variable -- EG5.2 Covariance of a Probability Distribution and its Applicationin Finance -- EG5.3 Binomial Distribution -- EG5.4 Poisson Distribution -- EG5.5 Hypgeometric Distribution -- CHAPTER 5 MINITAB GUIDE -- MG5.1 The Probability Distribution for a Discrete Variable -- MG5.2 Covariance and its Application in Finance -- MG5.3 Binomial Distribution -- MG5.4 Poisson Distribution -- MG5.5 Hypergeometric Distribution -- 6 The Normal Distribution and Other Continuous Distributions -- USING STATISTICS: Normal Downloading at MyTVLab -- 6.1 Continuous Probability Distributions -- 6.2 The Normal Distribution -- Computing Normal Probabilities -- Finding X Values -- VISUAL EXPLORATIONS: Exploring the Normal Distribution -- THINK ABOUT This: What Is Normal? -- 6.3 Evaluating Normality -- Comparing Data Characteristics to Theoretical Properties -- Comparing Data Characteristics to Theoretical Properties -- Constructing the Normal Probability Plot -- 6.4 The Uniform Distribution -- 6.5 The Exponential Distribution -- 6.6 The Normal Approximation to the Binomial Distribution -- USING STATISTICS: Normal Downloading at MyTVLab, Revisited -- SUMMARY -- REFERENCES -- KEY EQUATIONS -- KEY TERMS -- CHECKING YOUR UNDERSTANDING -- CHAPTER REVIEW PROBLEMS -- CASES FOR CHAPTER 6 -- Managing Ashland MultiComm Services -- Digital Case -- CardioGood Fitness -- More Descriptive Choices Follow-up. ; Clear Mountain State Student Surveys.
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• Titolo autorizzato: Basic business statistics concepts and applications
• ISBN: 1-292-06903-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910154783103321
• Lo trovi qui: Univ. Federico II
• Serie: Always learning.