Course in Business Statistics with CD-ROM, 4th Edition

1. The Where, Why, and How of Data Collection
     What is Business Statistics? Tools for Collecting Data. Populations,Samples, and Sampling Techniques. Data Types and Data
     Measurement Levels.

2. Graphs, Charts and Tables — Describing Your Data

    Frequency Distributions and Histograms. Bar Charts, Pie Charts and Stem and Leaf Diagrams.     Line Charts and Scatter Diagrams. 

3. Describing Data Using Numerical Measures
     Measures of Center and Location. Measures of Variation. Using the Mean and Standard Deviation Together.

Chapter 1-3 Special Review Section

4. Using Probability and Probability Distributions

    The Basics of Probability. The Rules of Probability. Introduction to Probability Distributions.

5. Discrete and Continuous Probability Distributions
  
     The Binomial Probability Distribution. Other Discrete Distributions. The Normal Probability Distribution. Other Continuous Probability
      Distributions.

6. Introduction to Sampling Distributions

    Sampling error: What It Is and Why It Happens. Sampling Distribution of the Mean. Sampling Distribution of a Proportion. 
          

7. Estimating Population Values

    Point and Confidence Interval Estimates for a Population Mean. Determining the Required Sample Size for Estimating the Population 
     Mean. Estimating a Population Proportion.

8. Introduction to Hypothesis Testing

    Hypothesis Tests for Means. Hypothesis Tests for Proportions. Type II Errors.

9. Estimation and Hypothesis Testing for Two Population Parameters

    Estimation for Two Population Means. Hypothesis Tests for the Difference Between Two Population Means. Estimation and Hypothesis 
     Tests for Two Population Proportions.  Chi-Square Test for Independence. 

10. Hypothesis Tests For One and Two Population Variances

      Test for a Single Population Variance. Test for Two Population Variances.

11. Analysis of Variance
 
       One-Way Analysis of Variance. Randomized Complete Block Analysis of Variance.

Chapter 7-11 Special Review Section

12. Introduction to Linear Regression and Correlation Analysis

     Scatter Plots and Correlation. Simple Linear Regression Analysis. Uses for Regression Analysis

13. The Basics of Multiple Regression Analysis

      Introduction to Multiple Regression Analysis. Using Qualitative Independent Variables. Working With Nonlinear Relationships. 
        Stepwise Regression. Determining the Aptness of the Model. 
       
CD-ROM Chapters

14. Introduction to Decision Analysis

15. Analyzing Forecasting and Time-Series Data

16. Introduction to Nonparametric Statistics

17. Introduction to Quality and Statistical Process Control

Index for CD-ROM chapters

Answers to Selected Odd-Numbered Problems for CD-ROM chapters