Statistics
Statistics: Concepts and Applications is a 'classical' general statistics text written in modern voice. The authors bring mathematical, theoretical and conceptual integrity to a body of topics and techniques that is appropriate to a first course in statistics and do so in a way that is accessible to students whose mathematical preparation does not go beyond the standard curriculum for college algebra. The informal, conversational prose delivers conceptual richness and advances a quiet subtext of mathematics instruction that achieves a high level of mathematical rigour. The text presents a thorough, step-by-step development of fundamental principles. Statistics: Concepts and Applications is backed by a package of ancillary materials: an instructor's manual with full solutions to exercises, rather than just answers, and an inexpensive supplementary workbook and tutorial ('User-Friendly') with remarkably powerful and easy-to-use DOS-compatible computer software package (ASP).
- Undergraduate statistics text book
- Rigorous mathematics presented in informal, conversational prose
- ASP software, workbook tutorial and instructor's manual also available
Product details
October 1994Hardback
9780521445542
896 pages
261 × 187 × 49 mm
1.707kg
104 b/w illus.
Unavailable - out of print April 2010
Table of Contents
- 1. The organization of data
- 2. Describing distributions
- 3. Describing individuals in distributions
- 4. Describing joint distributions of data
- 5. Introduction to probability
- 6. Discrete probability distributions
- 7. Continuous probability distributions
- 8. Sampling distributions and estimation
- 9. Hypothesis testing
- 10. Testing hypotheses about population means
- 11. Testing hypotheses about population variances
- 12. Testing hypotheses about several population means μ1, μ2,..., μj: analysis of variance
- 13. More complex analysis of variance
- 14. Testing hypotheses about correlation and regression
- 15. Testing hypotheses about entire distributions: Pearson's chi-square.