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    Statistics for Management and Economics

    ISBN-10: 0538477490
    ISBN-13: 9780538477499
    Author(s): Gerald Keller
    List price: $290.95
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    List Price: $290.95
    Edition: 9th
    Publisher: Cengage South-Western
    Binding: Hardcover
    Pages: 1008
    Size: 8.00" wide x 10.00" long x 0.75" tall
    Weight: 1.232
    Language: English

    Dr. Gerald Keller is Emeritus Professor of Business at Wilfrid Laurier University, where he taught statistics, management science, and operations management from 1974 to 2011. He also taught at the University of Toronto, the University of Miami, McMaster University, the University of Windsor, and the Beijing Institute of Science and Technology. In addition to consulting with banks on credit scoring and credit card fraud, Dr. Keller has conducted market surveys for the Canadian government on energy conservation. His books include BSTAT, 2e, APPLIED STATISTICS WITH MICROSOFT EXCEL, ESSENTIALS OF BUSINESS STATISTICS (co-authored), AUSTRALIAN BUSINESS STATISTICS (co-authored), and STATISTICS LABORATORY MANUAL EXPERIMENTS USING MINITAB. Dr. Keller also has been published in OMEGA, IIE TRANSACTIONS, DECISION SCIENCES, INFOR, ECONOMICS LETTERS, and ARCHIVES OF SURGERY.

    What is Statistics?
    Key Statistical Concepts
    Statistical Applications in Business
    Statistics and the Computer
    World Wide Web and Learning Center
    Instructions for the CD-ROM
    Graphical Descriptive Techniques I
    Types of Data and Information
    Describing a Set of Nominal Data
    Describing the Relationship between Two Nominal Variables and Comparing Two or More Nominal Data Sets
    Graphical Descriptive Techniques II
    Graphical Techniques to Describe a Set of Interval Data
    Describing Time-Series Data
    Describing the Relationship between Two Interval Variables
    Art and Science of Graphical Presentations
    Numerical Descriptive Techniques
    Measures of Central Location
    Measures of Variability
    Measures of Relative Standing and Box Plots
    Measures of Linear Relationship
    (Options) Applications In Professional Sports: Baseball
    (Optional) Applications In Finance: Market Model
    Comparing Graphical and Numerical Techniques
    General Guidelines for Exploring Data
    Review Of chapters 2 to 4
    Data Collection and Sampling
    Methods of Collecting Data
    Sampling
    Sampling Plans
    Sampling and Nonsampling Errors
    Probability
    Assigning Probability to Events
    Joint, Marginal, and Conditional Probability
    Probability Rules and Trees
    Bayes' Law
    Identifying the Correct Method
    Random Variables and Discrete Probability Distributions
    Random Variables and Probability Distributions
    Bivariate Distributions
    (Optional) Applications In Finance: Investment Portfolio Diversification and Asset Allocation
    Binomial Distribution
    Poisson Distribution
    Continuous Probability Distributions
    Probability Density Functions
    Normal Distribution
    (Optional) Exponential Distribution
    Other Continuous Distributions
    Sampling Distributions
    Sampling Distribution of the Mean
    Sampling Distribution of a Proportion
    Sampling Distribution of the Difference between Two Means
    From Here to Inference
    Introduction to Estimation
    Concepts of Estimation
    Estimating the Population Mean when the Population Standard Deviation is Known
    Selecting the Sample Size
    Introduction to Hypothesis Testing
    Concepts of Hypothesis Testing
    Testing the Population Mean when the Population Standard Deviation is Known
    Calculating the Probability of a Type II Error
    The Road Ahead
    Inference about One Population
    Inference about a population Mean when the Standard Deviation is Unknown
    Inference about a Population Variance
    Inference about a Population Proportion
    (Optional) Applications In Marketing: Market Segmentation
    Inference about Two Populations
    Inference about the Difference between Two Means: Independent samples
    Observational and Experimental Data
    Inference about the Difference between Two Means: Matched Pairs Experiment
    Inference about the Ratio of Two Variances
    Inference about the Difference between Two Population Proportions
    Review of Chapters 12 and 13
    Analysis of Variance
    One Way Analysis of Variance
    Multiple Comparisons
    Analysis of Variance Experimental Designs
    Randomized Blocks (Two Way) Analysis of Variance
    Two-Factor Analysis of Variance
    (Optional) Applications In Operations Management: Finding and Reducing Variation
    Review of chapters 12 to 14
    Chi-Squared Tests
    Chi-Squared Goodness-of-Fit Test
    Chi-Squared Test of a Contingency Table
    Summary of Tests on Nominal Data
    (Optional) Chi-Squared Test for Normality
    Review of Chapters 12 to 15
    Simple Linear Regression
    Model
    Estimating the Coefficients
    Error Variable: Required Conditions
    Assessing the Model
    Using the Regression Equation
    Regression Diagnostics - I
    Review of Chapters 12 to 16
    Multiple Regression
    Model and Required Conditions
    Estimating the Coefficients and Assessing the Model
    Regression Diagnostics - II
    Regression Diagnostics- III (Time Series)
    Review of Chapters 12 to 17
    Model Building
    Polynomial Models
    Nominal Independent Variables
    (Optional) Applications In Human Resources Management: Pay Equity
    Logistic Regression
    Stepwise Regression
    Model Building
    Nonparametric Statistical Techniques
    Wilcoxon Rank Sum Test
    Sign Test and Wilcoxon Signed Rank Sum Test
    Kruskal-Wallis Test
    Friedman Test
    Spearman Rank Correlation
    Review of Chapters 12 to 19
    Time-Series Analysis and Forecasting
    Time Series Components
    Smoothing Techniques
    Trend and Seasonal Effects
    Introduction to Forecasting
    Forecasting Models
    Statistical Process Control. 21.1.Process Variation
    Control Charts
    Control Charts for Variables: and S Charts
    Control Charts for Attributes: p Chart. 22:Decision Analysis
    Decision Problem
    Acquiring, Using and Evaluating Additional Information
    Conclusion
    Data File Sample Statistics
    Tables
    Binomial Probabilities
    Poisson Probabilities
    Normal Probabilities
    Critical Values of t
    Critical Values of
    Critical Values of F
    Critical Values of the Studentized Range
    Critical Values for the Durbin-Watson Statistic
    Critical Values for the Wilcoxon Rank Sum Test
    Critical Values for the Wilcoxon Signed Rank Sum Test
    Critical Values for the Spearman Rank Correlation Coefficient
    Control Chart Constants
    Answers to Selected Even-Numbered Exercises

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