9780534916930

This text is intended for the two-term introductory statistics course for business and economics majors at the undergraduate or MBA level. College Algebra is a prerequisite. The author emphasizes statistical inference and model-building in a real-world context and presents a complete introduction to regression and forecasting. Statistical software output from SPSS, MINITAB, and SAS is included in each chapter's "Computer Applications" section to aid students in understanding and interpreting statistical output.

What Statistics Is All About	p. 1
Data Collection and Sampling Theory	p. 7
Summarizing Data in Tables and Graphs	p. 42
Summary Statistics: Measures of Location and Dispersion	p. 77
Introduction to Probability	p. 133
Discrete Probability Distributions	p. 192
Some Important Discrete Distributions	p. 220
Some Useful Continuous Probability Distributions	p. 248
Sampling Theory and Some Important Sampling Distributions	p. 288
Estimating and Constructing Confidence Intervals	p. 339
Hypothesis Testing	p. 391
Tests of Hypotheses Involving Two Populations	p. 476
Chi-Square Tests	p. 509
Analysis of Variance	p. 546
Regression and Correlation	p. 584
Multiple Regression Models	p. 667
Special Topics in Multiple Regression Analysis	p. 709
Residual Analysis and Violations of the Basic Assumptions	p. 757
Time Series Analysis I: Estimation of the Trend Component	p. 813
Time Series Analysis II: Estimation of the Seasonal Component	p. 867
Some Nonparametric Tests	p. 901
Introduction to Statistical Decision Theory	p. 945
Quality Control	p. 978
Appendix A: Statistical Tables	p. 1036
Appendix B: Answers to Selected Exercises	p. 1065
Index	p. 1091
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Introductory Statistics for Management and Economics

Introductory Statistics for Management and Economics

0534916937

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