Course In Business Statistics

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 chaptersGroebner, David F. is the author of 'Course In Business Statistics', published 2004 under ISBN 9780131676091 and ISBN 0131676091.