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Statistical techniques in business & economics

Author: Douglas A Lind; William G Marchal; Samuel Adam Wathen
Publisher: New York, NY : McGraw-Hill Education, [2018]
Series: McGraw-Hill/Irwin series operations and decision sciences.
Edition/Format:   Print book : English : Seventeenth editionView all editions and formats
Summary:

Includes a coverage of statistical concepts and methods delivered in a student friendly, step-by-step format. This book presents concepts clearly and succinctly with a conversational writing style  Read more...

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Details

Document Type: Book
All Authors / Contributors: Douglas A Lind; William G Marchal; Samuel Adam Wathen
ISBN: 9781259666360 1259666360 9781259921803 1259921808
OCLC Number: 958357160
Notes: Revised edition of the authors' Statistical techniques in business & economics, [2015].
Includes index.
Description: xxvi, 863 pages ; 28 cm.
Contents: Machine generated contents note: Introduction --
Why Study Statistics? --
What is Meant by Statistics? --
Types of Statistics --
Descriptive Statistics --
Inferential Statistics --
Types of Variables --
Levels of Measurement --
Nominal-Level Data --
Ordinal-Level Data --
Interval-Level Data --
Ratio-Level Data --
Exercises --
Ethics and Statistics --
Basic Business Analytics --
Summary --
Exercises --
Data Analytics --
Introduction --
Constructing Frequency Tables --
Relative Class Frequencies --
Graphic Presentation of Qualitative Data --
Exercises --
Constructing Frequency Distributions --
Relative Frequency Distribution --
Exercises --
Graphic Presentation of a Distribution --
Histogram --
Frequency Polygon --
Exercises --
Cumulative Distributions --
Exercises --
Summary --
Exercises --
Data Analytics --
Introduction --
Measures of Location --
The Population Mean --
The Sample Mean --
Properties of the Arithmetic Mean --
Exercises --
The Median --
The Mode --
Exercises --
The Relative Positions of the Mean, Median, and Mode --
Exercises --
Software Solution --
The Weighted Mean --
Exercises --
The Geometric Mean --
Exercises --
Why Study Dispersion? --
Range --
Variance --
Exercises --
Population Variance --
Population Standard Deviation --
Exercises --
Sample Variance and Standard Deviation --
Software Solution --
Exercises --
Interpretation and Uses of the Standard Deviation --
Chebyshev's Theorem --
The Empirical Rule --
Exercises --
The Mean and Standard Deviation of Grouped Data --
Arithmetic Mean of Grouped Data --
Standard Deviation of Grouped Data --
Exercises --
Ethics and Reporting Results --
Summary --
Pronunciation Key --
Exercises --
Data Analytics --
Introduction --
Dot Plots --
Stem-and-Leaf Displays --
Exercises --
Measures of Position --
Quartiles, Deciles, and Percentiles --
Exercises --
Box Plots --
Exercises --
Skewness --
Exercises --
Describing the Relationship between Two Variables --
Contingency Tables --
Exercises --
Summary --
Pronunciation Key --
Exercises --
Data Analytics --
Problems --
Cases --
Practice Test --
Introduction --
What is a Probability? --
Approaches to Assigning Probabilities --
Classical Probability --
Empirical Probability --
Subjective Probability --
Exercises --
Rules of Addition for Computing Probabilities --
Special Rule of Addition --
Complement Rule --
The General Rule of Addition --
Exercises --
Rules of Multiplication to Calculate Probability --
Special Rule of Multiplication --
General Rule of Multiplication --
Contingency Tables --
Tree Diagrams --
Exercises --
Bayes' Theorem --
Exercises --
Principles of Counting --
The Multiplication Formula --
The Permutation Formula --
The Combination Formula --
Exercises --
Summary --
Pronunciation Key --
Exercises --
Data Analytics --
Introduction --
What is a Probability Distribution? --
Random Variables --
Discrete Random Variable --
Continuous Random Variable --
The Mean, Variance, and Standard Deviation of a Discrete Probability Distribution --
Mean --
Variance and Standard Deviation --
Exercises --
Binomial Probability Distribution --
How Is a Binomial Probability Computed? --
Binomial Probability Tables --
Exercises --
Cumulative Binomial Probability Distributions --
Exercises --
Hypergeometric Probability Distribution --
Exercises --
Poisson Probability Distribution --
Exercises --
Summary --
Exercises --
Data Analytics --
Introduction --
The Family of Uniform Probability Distributions --
Exercises --
The Family of Normal Probability Distributions --
The Standard Normal Probability Distribution --
Applications of the Standard Normal Distribution --
The Empirical Rule --
Exercises --
Finding Areas under the Normal Curve --
Exercises --
Exercises --
Exercises --
The Normal Approximation to the Binomial --
Continuity Correction Factor --
How to Apply the Correction Factor --
Exercises --
The Family of Exponential Distributions --
Exercises --
Summary --
Exercises --
Data Analytics --
Problems --
Cases --
Practice Test --
Introduction --
Sampling Methods --
Reasons to Sample --
Simple Random Sampling --
Systematic Random Sampling --
Stratified Random Sampling --
Cluster Sampling --
Exercises --
Sampling "Error" --
Sampling Distribution of the Sample Mean --
Exercises --
The Central Limit Theorem --
Exercises --
Using the Sampling Distribution of the Sample Mean --
Exercises --
Summary --
Pronunciation Key --
Exercises --
Data Analytics --
Introduction --
Point Estimate for a Population Mean --
Confidence Intervals for a Population Mean --
Population Standard Deviation, Known a --
A Computer Simulation --
Exercises --
Population Standard Deviation, a Unknown --
Exercises --
A Confidence Interval for a Population Proportion --
Exercises --
Choosing an Appropriate Sample Size --
Sample Size to Estimate a Population Mean --
Sample Size to Estimate a Population Proportion --
Exercises --
Finite-Population Correction Factor --
Exercises --
Summary --
Exercises --
Data Analytics --
Problems --
Cases --
Practice Test --
Introduction --
What is Hypothesis Testing? --
Six-Step Procedure for Testing a Hypothesis --
Step 1: State the Null Hypothesis (H0) and the Alternate Hypothesis (H1) --
Step 2: Select a Level of Significance --
Step 3: Select the Test Statistic --
Step 4: Formulate the Decision Rule --
Step 5: Make a Decision --
Step 6: Interpret the Result --
One-Tailed and Two-Tailed Hypothesis Tests --
Hypothesis Testing for a Population Mean: Known Population Standard Deviation --
A Two-Tailed Test --
A One-Tailed Test --
p-Value in Hypothesis Testing --
Exercises --
Hypothesis Testing for a Population Mean: Population Standard Deviation Unknown --
Exercises --
A Statistical Software Solution --
Exercises --
Type II Error --
Exercises --
Summary --
Pronunciation Key --
Exercises --
Data Analytics --
Introduction --
Two-Sample Tests of Hypothesis: Independent Samples --
Exercises --
Comparing Population Means with Unknown Population Standard Deviations --
Two-Sample Pooled Test --
Exercises --
Unequal Population Standard Deviations --
Exercises --
Two-Sample Tests of Hypothesis: Dependent Samples --
Comparing Dependent and Independent Samples --
Exercises --
Summary --
Pronunciation Key --
Exercises --
Data Analytics --
Introduction --
Comparing Two Population Variances --
The F Distribution --
Testing a Hypothesis of Equal Population Variances --
Exercises --
ANOVA: Analysis of Variance --
ANOVA Assumptions --
The ANOVA Test --
Exercises --
Inferences about Pairs of Treatment Means --
Exercises --
Two-Way Analysis of Variance --
Exercises --
Two-Way ANOVA with Interaction --
Interaction Plots --
Testing for Interaction --
Hypothesis Tests for Interaction --
Exercises --
Summary --
Pronunciation Key --
Exercises --
Data Analytics --
Problems --
Cases --
Practice Test --
Introduction --
What is Correlation Analysis? --
The Correlation Coefficient --
Exercises --
Testing the Significance of the Correlation Coefficient --
Exercises --
Regression Analysis --
Least Squares Principle --
Drawing the Regression Line --
Exercises --
Testing the Significance of the Slope --
Exercises --
Evaluating a Regression Equation's Ability to Predict --
The Standard Error of Estimate --
The Coefficient of Determination --
Exercises --
Relationships among the Correlation Coefficient, the Coefficient of Determination, and the Standard Error of Estimate --
Exercises --
Interval Estimates of Prediction --
Assumptions Underlying Linear Regression --
Constructing Confidence and Prediction Intervals --
Exercises --
Transforming Data --
Exercises --
Summary --
Pronunciation Key --
Exercises --
Data Analytics --
Introduction --
Multiple Regression Analysis --
Exercises --
Evaluating a Multiple Regression Equation --
The ANOVA Table --
Multiple Standard Error of Estimate --
Coefficient of Multiple Determination --
Adjusted Coefficient of Determination --
Exercises --
Inferences in Multiple Linear Regression --
Global Test: Testing the Multiple Regression Model --
Evaluating Individual Regression Coefficients --
Exercises --
Evaluating the Assumptions of Multiple Regression --
Linear Relationship --
Variation in Residuals Same for Large and Small Si Values --
Distribution of Residuals --
Multicollinearity --
Independent Observations --
Qualitative Independent Variables --
Regression Models with Interaction --
Stepwise Regression --
Exercises --
Review of Multiple Regression --
Summary --
Pronunciation Key --
Exercises --
Data Analytics --
Problems --
Cases --
Practice Test --
Introduction --
Test a Hypothesis of a Population Proportion --
Exercises --
Two-Sample Tests about Proportions --
Exercises --
Goodness-of-Fit Tests: Comparing Observed and Expected Frequency Distributions --
Hypothesis Test of Equal Expected Frequencies --
Exercises --
Hypothesis Test of Unequal Expected Frequencies --
Limitations of Chi-Square --
Exercises --
Testing the Hypothesis That a Distribution is Normal --
Exercises --
Contingency Table Analysis --
Exercises --
Summary --
Pronunciation Key --
Exercises --
Data Analytics --
Introduction --
The Sign Test --
Exercises --
Using the Normal Approximation to the Binomial --
Exercises --
Testing a Hypothesis About a Median --
Exercises --
Wilcoxon Signed-Rank Test for Dependent Populations --
Exercises --
Wilcoxon Rank-Sum Test for Independent Populations --
Exercises --
Kruskal-Wallis Test: Analysis of Variance by Ranks --
Exercises --
Rank-Order Correlation --
Testing the Significance of rs --
Exercises --
Summary --
Pronunciation Key --
Exercises --
Data Analytics --
Problems --
Cases --
Practice Test --
Introduction --
Simple Index Numbers --
Why Convert Data to Indexes? --
Construction of Index Numbers --
Exercises --
Unweighted Indexes --
Simple Average of the Price Indexes --
Simple Aggregate Index --
Weighted Indexes --
Laspeyres Price Index --
Paasche Price Index --
Fisher's Ideal Index --
Exercises --
Value Index --
Exercises --
Special-Purpose Indexes --
Consumer Price Index --
Producer Price Index Note continued: Dow Jones Industrial Average (DJIA) --
Exercises --
Consumer Price Index --
Special Uses of the Consumer Price Index --
Shifting the Base --
Exercises --
Summary --
Exercises --
Data Analytics --
Introduction --
Components of a Time Series --
Secular Trend --
Cyclical Variation --
Seasonal Variation --
Irregular Variation --
A Moving Average --
Weighted Moving Average --
Exercises --
Linear Trend --
Least Squares Method --
Exercises --
Nonlinear Trends --
Exercises --
Seasonal Variation --
Determining a Seasonal Index --
Exercises --
Deseasonalizing Data --
Using Deseasonalized Data to Forecast --
Exercises --
The Durbin-Watson Statistic --
Exercises --
Summary --
Exercises --
Data Analytics --
Problems --
Practice Test --
Introduction --
A Brief History of Quality Control --
Six Sigma --
Sources of Variation --
Diagnostic Charts --
Pareto Charts --
Fishbone Diagrams --
Exercises --
Purpose and Types of Quality Control Charts --
Control Charts for Variables --
Range Charts --
In-Control and Out-of-Control Situations --
Exercises --
Attribute Control Charts --
p-Charts --
c-Bar Charts --
Exercises --
Acceptance Sampling --
Exercises --
Summary --
Pronunciation Key --
Exercises --
Introduction --
Elements of a Decision --
Decision Making Under Conditions of Uncertainty --
Payoff Table --
Expected Payoff --
Exercises --
Opportunity Loss --
Exercises --
Expected Opportunity Loss --
Exercises --
Maximin, Maximax, and Minimax Regret Strategies --
Value of Perfect Information --
Sensitivity Analysis --
Exercises --
Decision Trees --
Summary --
Exercises --
Appendix A: Data Sets --
Appendix B: Tables --
Appendix C: Software Commands --
Appendix D: Answers to Odd-Numbered Chapter Exercises --
Review Exercises --
Solutions to Practice Tests --
Appendix E: Answers to Self-Review.
Series Title: McGraw-Hill/Irwin series operations and decision sciences.
Other Titles: Statistical techniques in business and economics
Responsibility: Douglas A. Lind, Coastal Carolina University and the University of Toledo, William G. Marchal, the University of Toledo, Samuel A. Wathen, Coastal Carolina University.

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Lind<\/span>\n\u00A0\u00A0\u00A0\nschema:author<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/329224#Person\/wathen_samuel_adam<\/a>> ; # Samuel Adam Wathen<\/span>\n\u00A0\u00A0\u00A0\nschema:author<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/329224#Person\/marchal_william_g<\/a>> ; # William G. Marchal<\/span>\n\u00A0\u00A0\u00A0\nschema:bookEdition<\/a> \"Seventeenth edition.<\/span>\" ;\u00A0\u00A0\u00A0\nschema:bookFormat<\/a> bgn:PrintBook<\/a> ;\u00A0\u00A0\u00A0\nschema:datePublished<\/a> \"2018<\/span>\" ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"Note continued: Dow Jones Industrial Average (DJIA) -- Exercises -- Consumer Price Index -- Special Uses of the Consumer Price Index -- Shifting the Base -- Exercises -- Summary -- Exercises -- Data Analytics -- Introduction -- Components of a Time Series -- Secular Trend -- Cyclical Variation -- Seasonal Variation -- Irregular Variation -- A Moving Average -- Weighted Moving Average -- Exercises -- Linear Trend -- Least Squares Method -- Exercises -- Nonlinear Trends -- Exercises -- Seasonal Variation -- Determining a Seasonal Index -- Exercises -- Deseasonalizing Data -- Using Deseasonalized Data to Forecast -- Exercises -- The Durbin-Watson Statistic -- Exercises -- Summary -- Exercises -- Data Analytics -- Problems -- Practice Test -- Introduction -- A Brief History of Quality Control -- Six Sigma -- Sources of Variation -- Diagnostic Charts -- Pareto Charts -- Fishbone Diagrams -- Exercises -- Purpose and Types of Quality Control Charts -- Control Charts for Variables -- Range Charts -- In-Control and Out-of-Control Situations -- Exercises -- Attribute Control Charts -- p-Charts -- c-Bar Charts -- Exercises -- Acceptance Sampling -- Exercises -- Summary -- Pronunciation Key -- Exercises -- Introduction -- Elements of a Decision -- Decision Making Under Conditions of Uncertainty -- Payoff Table -- Expected Payoff -- Exercises -- Opportunity Loss -- Exercises -- Expected Opportunity Loss -- Exercises -- Maximin, Maximax, and Minimax Regret Strategies -- Value of Perfect Information -- Sensitivity Analysis -- Exercises -- Decision Trees -- Summary -- Exercises -- Appendix A: Data Sets -- Appendix B: Tables -- Appendix C: Software Commands -- Appendix D: Answers to Odd-Numbered Chapter Exercises -- Review Exercises -- Solutions to Practice Tests -- Appendix E: Answers to Self-Review.<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"Machine generated contents note: Introduction -- Why Study Statistics? -- What is Meant by Statistics? -- Types of Statistics -- Descriptive Statistics -- Inferential Statistics -- Types of Variables -- Levels of Measurement -- Nominal-Level Data -- Ordinal-Level Data -- Interval-Level Data -- Ratio-Level Data -- Exercises -- Ethics and Statistics -- Basic Business Analytics -- Summary -- Exercises -- Data Analytics -- Introduction -- Constructing Frequency Tables -- Relative Class Frequencies -- Graphic Presentation of Qualitative Data -- Exercises -- Constructing Frequency Distributions -- Relative Frequency Distribution -- Exercises -- Graphic Presentation of a Distribution -- Histogram -- Frequency Polygon -- Exercises -- Cumulative Distributions -- Exercises -- Summary -- Exercises -- Data Analytics -- Introduction -- Measures of Location -- The Population Mean -- The Sample Mean -- Properties of the Arithmetic Mean -- Exercises -- The Median -- The Mode -- Exercises -- The Relative Positions of the Mean, Median, and Mode -- Exercises -- Software Solution -- The Weighted Mean -- Exercises -- The Geometric Mean -- Exercises -- Why Study Dispersion? -- Range -- Variance -- Exercises -- Population Variance -- Population Standard Deviation -- Exercises -- Sample Variance and Standard Deviation -- Software Solution -- Exercises -- Interpretation and Uses of the Standard Deviation -- Chebyshev\'s Theorem -- The Empirical Rule -- Exercises -- The Mean and Standard Deviation of Grouped Data -- Arithmetic Mean of Grouped Data -- Standard Deviation of Grouped Data -- Exercises -- Ethics and Reporting Results -- Summary -- Pronunciation Key -- Exercises -- Data Analytics -- Introduction -- Dot Plots -- Stem-and-Leaf Displays -- Exercises -- Measures of Position -- Quartiles, Deciles, and Percentiles -- Exercises -- Box Plots -- Exercises -- Skewness -- Exercises -- Describing the Relationship between Two Variables -- Contingency Tables -- Exercises -- Summary -- Pronunciation Key -- Exercises -- Data Analytics -- Problems -- Cases -- Practice Test -- Introduction -- What is a Probability? -- Approaches to Assigning Probabilities -- Classical Probability -- Empirical Probability -- Subjective Probability -- Exercises -- Rules of Addition for Computing Probabilities -- Special Rule of Addition -- Complement Rule -- The General Rule of Addition -- Exercises -- Rules of Multiplication to Calculate Probability -- Special Rule of Multiplication -- General Rule of Multiplication -- Contingency Tables -- Tree Diagrams -- Exercises -- Bayes\' Theorem -- Exercises -- Principles of Counting -- The Multiplication Formula -- The Permutation Formula -- The Combination Formula -- Exercises -- Summary -- Pronunciation Key -- Exercises -- Data Analytics -- Introduction -- What is a Probability Distribution? -- Random Variables -- Discrete Random Variable -- Continuous Random Variable -- The Mean, Variance, and Standard Deviation of a Discrete Probability Distribution -- Mean -- Variance and Standard Deviation -- Exercises -- Binomial Probability Distribution -- How Is a Binomial Probability Computed? -- Binomial Probability Tables -- Exercises -- Cumulative Binomial Probability Distributions -- Exercises -- Hypergeometric Probability Distribution -- Exercises -- Poisson Probability Distribution -- Exercises -- Summary -- Exercises -- Data Analytics -- Introduction -- The Family of Uniform Probability Distributions -- Exercises -- The Family of Normal Probability Distributions -- The Standard Normal Probability Distribution -- Applications of the Standard Normal Distribution -- The Empirical Rule -- Exercises -- Finding Areas under the Normal Curve -- Exercises -- Exercises -- Exercises -- The Normal Approximation to the Binomial -- Continuity Correction Factor -- How to Apply the Correction Factor -- Exercises -- The Family of Exponential Distributions -- Exercises -- Summary -- Exercises -- Data Analytics -- Problems -- Cases -- Practice Test -- Introduction -- Sampling Methods -- Reasons to Sample -- Simple Random Sampling -- Systematic Random Sampling -- Stratified Random Sampling -- Cluster Sampling -- Exercises -- Sampling \"Error\" -- Sampling Distribution of the Sample Mean -- Exercises -- The Central Limit Theorem -- Exercises -- Using the Sampling Distribution of the Sample Mean -- Exercises -- Summary -- Pronunciation Key -- Exercises -- Data Analytics -- Introduction -- Point Estimate for a Population Mean -- Confidence Intervals for a Population Mean -- Population Standard Deviation, Known a -- A Computer Simulation -- Exercises -- Population Standard Deviation, a Unknown -- Exercises -- A Confidence Interval for a Population Proportion -- Exercises -- Choosing an Appropriate Sample Size -- Sample Size to Estimate a Population Mean -- Sample Size to Estimate a Population Proportion -- Exercises -- Finite-Population Correction Factor -- Exercises -- Summary -- Exercises -- Data Analytics -- Problems -- Cases -- Practice Test -- Introduction -- What is Hypothesis Testing? -- Six-Step Procedure for Testing a Hypothesis -- Step 1: State the Null Hypothesis (H0) and the Alternate Hypothesis (H1) -- Step 2: Select a Level of Significance -- Step 3: Select the Test Statistic -- Step 4: Formulate the Decision Rule -- Step 5: Make a Decision -- Step 6: Interpret the Result -- One-Tailed and Two-Tailed Hypothesis Tests -- Hypothesis Testing for a Population Mean: Known Population Standard Deviation -- A Two-Tailed Test -- A One-Tailed Test -- p-Value in Hypothesis Testing -- Exercises -- Hypothesis Testing for a Population Mean: Population Standard Deviation Unknown -- Exercises -- A Statistical Software Solution -- Exercises -- Type II Error -- Exercises -- Summary -- Pronunciation Key -- Exercises -- Data Analytics -- Introduction -- Two-Sample Tests of Hypothesis: Independent Samples -- Exercises -- Comparing Population Means with Unknown Population Standard Deviations -- Two-Sample Pooled Test -- Exercises -- Unequal Population Standard Deviations -- Exercises -- Two-Sample Tests of Hypothesis: Dependent Samples -- Comparing Dependent and Independent Samples -- Exercises -- Summary -- Pronunciation Key -- Exercises -- Data Analytics -- Introduction -- Comparing Two Population Variances -- The F Distribution -- Testing a Hypothesis of Equal Population Variances -- Exercises -- ANOVA: Analysis of Variance -- ANOVA Assumptions -- The ANOVA Test -- Exercises -- Inferences about Pairs of Treatment Means -- Exercises -- Two-Way Analysis of Variance -- Exercises -- Two-Way ANOVA with Interaction -- Interaction Plots -- Testing for Interaction -- Hypothesis Tests for Interaction -- Exercises -- Summary -- Pronunciation Key -- Exercises -- Data Analytics -- Problems -- Cases -- Practice Test -- Introduction -- What is Correlation Analysis? -- The Correlation Coefficient -- Exercises -- Testing the Significance of the Correlation Coefficient -- Exercises -- Regression Analysis -- Least Squares Principle -- Drawing the Regression Line -- Exercises -- Testing the Significance of the Slope -- Exercises -- Evaluating a Regression Equation\'s Ability to Predict -- The Standard Error of Estimate -- The Coefficient of Determination -- Exercises -- Relationships among the Correlation Coefficient, the Coefficient of Determination, and the Standard Error of Estimate -- Exercises -- Interval Estimates of Prediction -- Assumptions Underlying Linear Regression -- Constructing Confidence and Prediction Intervals -- Exercises -- Transforming Data -- Exercises -- Summary -- Pronunciation Key -- Exercises -- Data Analytics -- Introduction -- Multiple Regression Analysis -- Exercises -- Evaluating a Multiple Regression Equation -- The ANOVA Table -- Multiple Standard Error of Estimate -- Coefficient of Multiple Determination -- Adjusted Coefficient of Determination -- Exercises -- Inferences in Multiple Linear Regression -- Global Test: Testing the Multiple Regression Model -- Evaluating Individual Regression Coefficients -- Exercises -- Evaluating the Assumptions of Multiple Regression -- Linear Relationship -- Variation in Residuals Same for Large and Small Si Values -- Distribution of Residuals -- Multicollinearity -- Independent Observations -- Qualitative Independent Variables -- Regression Models with Interaction -- Stepwise Regression -- Exercises -- Review of Multiple Regression -- Summary -- Pronunciation Key -- Exercises -- Data Analytics -- Problems -- Cases -- Practice Test -- Introduction -- Test a Hypothesis of a Population Proportion -- Exercises -- Two-Sample Tests about Proportions -- Exercises -- Goodness-of-Fit Tests: Comparing Observed and Expected Frequency Distributions -- Hypothesis Test of Equal Expected Frequencies -- Exercises -- Hypothesis Test of Unequal Expected Frequencies -- Limitations of Chi-Square -- Exercises -- Testing the Hypothesis That a Distribution is Normal -- Exercises -- Contingency Table Analysis -- Exercises -- Summary -- Pronunciation Key -- Exercises -- Data Analytics -- Introduction -- The Sign Test -- Exercises -- Using the Normal Approximation to the Binomial -- Exercises -- Testing a Hypothesis About a Median -- Exercises -- Wilcoxon Signed-Rank Test for Dependent Populations -- Exercises -- Wilcoxon Rank-Sum Test for Independent Populations -- Exercises -- Kruskal-Wallis Test: Analysis of Variance by Ranks -- Exercises -- Rank-Order Correlation -- Testing the Significance of rs -- Exercises -- Summary -- Pronunciation Key -- Exercises -- Data Analytics -- Problems -- Cases -- Practice Test -- Introduction -- Simple Index Numbers -- Why Convert Data to Indexes? -- Construction of Index Numbers -- Exercises -- Unweighted Indexes -- Simple Average of the Price Indexes -- Simple Aggregate Index -- Weighted Indexes -- Laspeyres Price Index -- Paasche Price Index -- Fisher\'s Ideal Index -- Exercises -- Value Index -- Exercises -- Special-Purpose Indexes -- Consumer Price Index -- Producer Price Index<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:exampleOfWork<\/a> <http:\/\/worldcat.org\/entity\/work\/id\/329224<\/a>> ;\u00A0\u00A0\u00A0\nschema:inLanguage<\/a> \"en<\/span>\" ;\u00A0\u00A0\u00A0\nschema:isPartOf<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/329224#Series\/mcgraw_hill_irwin_series_operations_and_decision_sciences<\/a>> ; # McGraw-Hill\/Irwin series operations and decision sciences.<\/span>\n\u00A0\u00A0\u00A0\nschema:isPartOf<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/329224#Series\/the_mcgraw_hill_irwin_series_in_operations_and_decision_sciences<\/a>> ; # The McGraw-Hill\/Irwin series in operations and decision sciences<\/span>\n\u00A0\u00A0\u00A0\nschema:name<\/a> \"Statistical techniques in business & economics<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:productID<\/a> \"958357160<\/span>\" ;\u00A0\u00A0\u00A0\nschema:workExample<\/a> <http:\/\/worldcat.org\/isbn\/9781259666360<\/a>> ;\u00A0\u00A0\u00A0\nschema:workExample<\/a> <http:\/\/worldcat.org\/isbn\/9781259921803<\/a>> ;\u00A0\u00A0\u00A0\nwdrs:describedby<\/a> <http:\/\/www.worldcat.org\/title\/-\/oclc\/958357160<\/a>> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n\n

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