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Appropriate for a one- or two-semester course for business or economics. Newbold cultivates an understanding of statistical principles and practices, making clear the rationale behind each technique as it is performed. Students discover both how and why particular methods of data analysis are appropriate in specific situations, making them better consumers and managers.
Table of Contents
1. What is Statistics? 2. Summarizing Numerical Information. 3. Probability. 4. Discrete Random Variables and Probability Distributions. 5. Continuous Random Variables and Probability Distributions. 6. Sampling and Distributions. 7. Point Estimation. 8. Interval Estimation. 9. Hypothesis Testing. 10. Some Nonparametric Tests. 11. Goodness-of-Fit Tests and Contingency Tables. 12. Linear Correlation and Regression. 13. Multiple Regression. 14. Additional Topics in Regression Analysis. 15. Analysis of Variance. 16. Statistical Quality Control. 17. Time Series Analysis and Forecasting. 18. Survey Sampling Methods. 19. Statistical Decision Theory. Appendices. Answers to Selected Even-Numbered Exercises. Index.