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Numerical Exploration: 1. Batches of Numbers (Stemandleaf Plots, Histograms). 2. The Level, or Center, of a Batch (Mean and Median). 3. The Spread or Dispersion of a Batch (Range, Midspread, and Standard Deviation). 4. Comparing Batches (The BoxandDot Plot). 5. The Shape or Distribution of a Batch (Symmetry and Transformations). 6. Categories (Column and Row Proportions) Random Sampling: 7. Samples and Populations (Randomness and Sampling Bias). 8. Different Samples from the Same Population (Variation, the `Special Batch', and Standard Error). 9. Confidence and Population Means (Precision and Error Ranges, Student's t, Determining How Large of a Sample Is Needed). 10. Categories and Population Proportions (Percentages Instead of Means) Relationships between Two Variables: 11. Comparing Two Sample Means (The t Test, Results and Interpretations). 12. Comparing Means of More than Two Samples (Relating a Categorical Variable to a Measurement Variable, Analysis of Variance). 13. Comparing Proportions of Different Samples (Relating a Categorical Variable to Another Categorical Variable, Chisquare). 14. Relating a Measurement Variable to Another Measurement Variable. 15. Relating Ranks. 16. Sampling a Population with Subgroups. 17. Sampling a Site or Region with Spatial Units. 18. Sampling without Finding Anything. 19. Sampling and Reality Suggested Reading. Index.
From the reviews of the second edition: "For the indicated type of audience, this is a superb book, setting the use of basic statistics in a format that makes sense of the formulas rather than just saying 'compute this.' ! Robert Drennan ! have succeeded where others have failed, namely to explain, in an understandable way, the advantages of simple statistical techniques in a specific applied context. I heartily recommend this text." (Norman R. Draper, International Statistical Review, Vol. 79 (1), 2011)