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| 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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