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Statistics for Management and Economics Abbreviated (9 HAR/PSC): Keller, Gerald: BOOKS KINOKUNIYA
Book Details
Statistics for Management and Economics Abbreviated (9 HAR/PSC)
Statistics for Management and Economics Abbreviated (9 HAR/PSC)
Publisher : South-Western Pub
Published Date : 2011/01
Binding : Hardcover
ISBN : 9781111527327

BookWeb Price : A$ 579.91
Kinokuniya Card Member Price : A$ 521.92

Availability Status : Available for order from suppliers.
Usually dispatches within 3 weeks.
Language : English

Book Description
Source: ENG
Academic Descriptors: A48401620 A45142400
Academic Level: Undergraduate
Review:
Special Textbooks - Database Management Use
Table of Contents
 
    1 What Is Statistics?                          1  (10)
        Introduction                               1  (4)
      1.1 Key Statistical Concepts                 5  (1)
      1.2 Statistical Applications in Business     6  (1)
      1.3 Large Real Data Sets                     6  (1)
      1.4 Statistics and the Computer              7  (4)
    2 Graphical Descriptive Techniques I           11 (32)
        Introduction                               12 (1)
      2.1 Types of Data and Information            13 (5)
      2.2 Describing a Set of Nominal Data         18 (14)
      2.3 Describing the Relationship between      32 (11)
      Two Nominal Variables and Comparing Two
      or More Nominal Data Sets
    3 Graphical Descriptive Techniques II          43 (54)
        Introduction                               44 (1)
      3.1 Graphical Techniques to Describe a       44 (20)
      Set of Interval Data
      3.2 Describing Time-Series Data              64 (10)
      3.3 Describing the Relationship between      74 (8)
      Two Interval Variables
      3.4 Art and Science of Graphical             82 (15)
      Presentations
    4 Numerical Descriptive Techniques             97 (64)
        Introduction                               98 (1)
        Sample Statistic or Population Parameter   98 (1)
      4.1 Measures of Central Location             98 (10)
      4.2 Measures of Variability                  108(9)
      4.3 Measures of Relative Standing and Box    117(9)
      Plots
      4.4 Measures of Linear Relationship          126(18)
      4.5 (Optional) Applications in               144(3)
      Professional Sports: Baseball
      4.6 (Optional) Applications in Finance:      147(3)
      Market Model
      4.7 Comparing Graphical and Numerical        150(3)
      Techniques
      4.8 General Guidelines for Exploring Data    153(8)
    5 Data Collection and Sampling                 161(14)
        Introduction                               162(1)
      5.1 Methods of Collecting Data               162(3)
      5.2 Sampling                                 165(2)
      5.3 Sampling Plans                           167(5)
      5.4 Sampling and Nonsampling Errors          172(3)
    6 Probability                                  175(42)
        Introduction                               176(1)
      6.1 Assigning Probability to Events          176(4)
      6.2 Joint, Marginal, and Conditional         180(11)
      Probability
      6.3 Probability Rules and Trees              191(8)
      6.4 Bayes's Law                              199(10)
      6.5 Identifying the Correct Method           209(8)
    7 Random Variables and Discrete Probability    217(46)
    Distributions
        Introduction                               218(1)
      7.1 Random Variables and Probability         218(11)
      Distributions
      7.2 Bivariate Distributions                  229(8)
      7.3 (Optional) Applications in Finance:      237(6)
      Portfolio Diversification and Asset
      Allocation
      7.4 Binomial Distribution                    243(8)
      7.5 Poisson Distribution                     251(12)
    8 Continuous Probability Distributions         263(44)
        Introduction                               264(1)
      8.1 Probability Density Functions            264(6)
      8.2 Normal Distribution                      270(17)
      8.3 (Optional) Exponential Distribution      287(4)
      8.4 Other Continuous Distributions           291(16)
    9 Sampling Distributions                       307(28)
        Introduction                               308(1)
      9.1 Sampling Distribution of the Mean        308(13)
      9.2 Sampling Distribution of a Proportion    321(6)
      9.3 Sampling Distribution of the             327(3)
      Difference between Two Means
      9.4 From Here to Inference                   330(5)
    10 Introduction to Estimation                  335(25)
        Introduction                               336(1)
      10.1 Concepts of Estimation                  336(3)
      10.2 Estimating the Population Mean When     339(14)
      the Population Standard Deviation Is Known
      10.3 Selecting the Sample Size               353(7)
    11 Introduction to Hypothesis Testing          360(38)
        Introduction                               361(1)
      11.1 Concepts of Hypothesis Testing          361(4)
      11.2 Testing the Population Mean When the    365(20)
      Population Standard Deviation Is Known
      11.3 Calculating the Probability of a        385(9)
      Type II Error
      11.4 The Road Ahead                          394(4)
    12 Inference about a Population                398(50)
        Introduction                               399(1)
      12.1 Inference about a Population Mean       399(14)
      When the Standard Deviation Is Unknown
      12.2 Inference about a Population Variance   413(8)
      12.3 Inference about a Population            421(14)
      Proportion
      12.4 (Optional) Applications in              435(13)
      Marketing: Market Segmentation
    13 Inference about Comparing Two Populations   448(77)
        Introduction                               449(1)
      13.1 Inference about the Difference          449(23)
      between Two Means: Independent Samples
      13.2 Observational and Experimental Data     472(3)
      13.3 Inference about the Difference          475(14)
      between Two Means: Matched Pairs
      Experiment
      13.4 Inference about the Ratio of Two        489(6)
      Variances
      13.5 Inference about the Difference          495(30)
      between Two Population Proportions
        Appendix 13 Review of Chapters 12 and 13   519(6)
    14 Analysis of Variance                        525(71)
        Introduction                               526(1)
      14.1 One-Way Analysis of Variance            526(17)
      14.2 Multiple Comparisons                    543(10)
      14.3 Analysis of Variance Experimental       553(1)
      Designs
      14.4 Randomized Block (Two-Way) Analysis     554(9)
      of Variance
      14.5 Two-Factor Analysis of Variance         563(15)
      14.6 (Optional) Applications in              578(18)
      Operations Management: Finding and
      Reducing Variation
        Appendix 14 Review of Chapters 12 to 14    589(7)
    15 Chi-Squared Tests                           596(37)
        Introduction                               597(1)
      15.1 Chi-Squared Goodness-of-Fit Test        597(7)
      15.2 Chi-Squared Test of a Contingency       604(11)
      Table
      15.3 Summary of Tests on Nominal Data        615(2)
      15.4 (Optional) Chi-Squared Test for         617(16)
      Normality
        Appendix 15 Review of Chapters 12 to 15    626(7)
    16 Simple Linear Regression and Correlation    633(59)
        Introduction                               634(1)
      16.1 Model                                   634(3)
      16.2 Estimating the Coefficients             637(10)
      16.3 Error Variable: Required Conditions     647(3)
      16.4 Assessing the Model                     650(16)
      16.5 Using the Regression Equation           666(5)
      16.6 Regression Diagnostics---I              671(21)
        Appendix 16 Review of Chapters 12 to 16    684(8)
    17 Multiple Regression                         692
        Introduction                               693(1)
      17.1 Model and Required Conditions           693(1)
      17.2 Estimating the Coefficients and         694(19)
      Assessing the Model
      17.3 Regression Diagnostics---II             713(3)
      17.4 Regression Diagnostics---III (Time      716
      Series)
        Appendix 17 Review of Chapters 12 to 17    729
Appendix A Data File Sample Statistics             1  (1)
Appendix A Tables                                  1  (1)
Appendix C Answers to Selected Even-Numbered       1  (1)
Exercises
Index                                              1
 

This worldwide best-selling business statistics book teaches readers how to apply statistics to real-world business problems through the author's unique three-step approach to problem solving. Readers learn to IDENTIFY the right technique by focusing on the problem objective and data type. They then learn to COMPUTE the statistics by hand or by using Excel or Minitab. Finally, they INTERPRET the results in the context of the problem. This approach enhances user comprehension as well as practical skills.