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"Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics." provides early discussed fundamental concepts such as variability, graphical representation of data, and randomization and blocking in design of experiments. provides a thorough introduction to descriptive statistics, including the importance of understanding variability, representation of data, exploratory data analysis, and time-sequence plots. explores principles of probability, probability distributions, and sampling distribution theory. discusses regression, design of experiments and their analysis, including factorial and fractional factorial designs.
Table of Contents
1. Collection and Analysis of Information. 2. Probability Models. 3. Continuous Probability Models. 4. Applications of Sampling Distribution Theory. 5. Statistical Quality Control. 6. Tests of Statistical Hypothesis. 7. Experiments with One Factor. 8. Experiments with Two or More Factors. 9. Regression Analysis. Appendix A. Two Experimental Design Case Studies. Appendix B. Bibliography. Appendix C. Statistical Tables. Answers to Selected Exercises. Index.