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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).Read more
- Undergraduate statistics text book
- Rigorous mathematics presented in informal, conversational prose
- ASP software, workbook tutorial and instructor's manual also available
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- Date Published: August 1994
- format: Hardback
- isbn: 9780521445542
- length: 896 pages
- dimensions: 261 x 187 x 49 mm
- weight: 1.707kg
- contains: 104 b/w illus.
- availability: Unavailable - out of print
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.
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