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Statistics --- Mathematical statistics --- Data processing --- 001.422502854 --- 519.5 --- 681.3*J2 --- 681.3*J2 Physical sciences and engineering (Computer applications) --- Physical sciences and engineering (Computer applications) --- Computer. Automation --- Statistique --- Statistique mathématique --- Informatique --- Data processing. --- Statistics - Data processing --- Mathematical statistics - Data processing
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Mathematical statistics --- Statistics. --- statistiek --- gegevensverwerking --- datakollektie --- kansrekening --- Contains audio-visual material --- Statistics --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics
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The short, teachable chapters and approachable, colloquial style ofIntro Statshas made it the most successful first edition Statistics text. Now a hallmark feature,Intro Statsteaches readers how tothinkstatistically,showproper application of techniques, andtellothers what they have learned. What Can Go Wrong?sections in each chapter give students the tools to detect statistical errors and debunk misuses of statistics, whether intentional or not. Exploring and Understanding Data:Stats Starts Here; Data; Displaying Categorical Data; Displaying Quantitative Data; Describing Distributions Numerically; The Standard Deviation as a Ruler and the Normal Model.Exploring Relationships between Variables:Scatterplots, Association, and Correlation; Linear Regression; Regression Wisdom; Re-Expressing Data: It's easier than you think.Gathering Data:Understanding Randomness; Sample Surveys; Experiments.Randomness and Probability:From Randomness to Probability (LLN); Probability Rules!; Random Variables; Probability Models (Binomial).From the Data at Hand to the World at Large:Sampling Distribution Models (CLT); Confidence Intervals for Proportions; Testing Hypotheses about Proportions; More About Tests; Comparing Two Proportions.Learning About the World:Inferences About Means; Comparing Means; Paired Samples and Blocks.Inference when Variables are Related:Comparing Counts (Chi Square); Inferences for Regression; Analysis of Variance; Multiple Regression. For all readers interested in introductory statistics
statistiek --- Mathematical statistics --- Probability theory --- wiskundige statistiek --- regressie-analyse --- waarschijnlijkheidsleer
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I. Exploring and Understanding Data 1. Stats Starts Here 2. Data 3. Displaying and Describing Categorical Data 4. Displaying and Summarizing Quantitative Data 5. Understanding and Comparing Distributions 6. The Standard Deviation as a Ruler and the Normal Model Review of Part I: Exploring and Understanding Data II. Exploring Relationships between Variables 7. Scatterplots, Association, and Correlation 8. Linear Regression 9. Regression Wisdom 10. Re-expressing Data: Get It Straight! Review of Part II: Exploring Relationships Between Variables III. Gathering Data 11. Understanding Randomness 12. Sample Surveys 13. Experiments and Observational Studies Review of Part III: Gathering Data IV. Randomness and Probability 14. From Randomness to Probability 15. Probability Rules! 16. Random Variables 17. Probability Models Review of Part IV: Randomness and Probability V. From the Data at Hand to the World At Large 18. Sampling Distribution Models 19. Confidence Intervals for Proportions 20. Testing Hypotheses about Proportions 21. More about Tests 22. Comparing Two Proportions Review of Part V: From the Data at Hand to the World at Large VI. Learning about the World 23. Inferences about Means 24. Comparing Means 25. Paired Samples and Blocks Review of Part VI: Learning About the World VII. Inference When Variables are Related 26. Comparing Counts 27. Inferences for Regression Review of Part VII: Inference When Variables Are Related 28. Analysis of Variance-on the CD 29. Multiple Regression-on the CD APPENDIXES A. Answers B. Photo Acknowledgements C. Index D. Tables and Selected Formulas
Statistics --- Statistiek --- Statistiek. --- Statistics - Textbooks
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