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Statistics

Statistics

Statistics

Concepts and Applications Workbook
Harry Frank, University of Michigan, Flint
Steven C. Althoen, University of Michigan, Flint
October 1994
Unavailable - out of print April 2010
Hardback
9780521445542
Out of Print
Hardback

    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 1994
    Hardback
    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.
      Authors
    • Harry Frank , University of Michigan, Flint
    • Steven C. Althoen , University of Michigan, Flint