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Statistics Explained John Parry Lewis

Statistics Explained By John Parry Lewis

Statistics Explained by John Parry Lewis

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Summary

For students of subjects including psychology, geography, management, economics, biology and the social sciences, this work sets out to make statistics understandable. The emphasis is on explanation, which is achieved without the use of calculus or complicated mathematics.

Statistics Explained Summary

Statistics Explained by John Parry Lewis

At long last a book which brings together the subject of statistics alive! Statistics Explained has been written for students studying a wide range of subject areas who approach their course with reluctance and trepidation.

Through careful explanation, this book will provide students with a thorough understanding of statistical terms and techniques, along witht he ability to select the most suitable statistical method to tackle a wide range of problemsin their own subject area.

Table of Contents

1. How to use this book.
2. Introduction.
3. Tables and Diagrams .
4. Describing Frequency Distributions.
5. The Existence and Meaning of the Arithmetic Mean.
6. The Arithmetic Mean: Limitations and Calculation.
7. Most Fashionable.
8. Doing a Balancing Act.
9. Other Means.
10. What About the Width?.
11. The Standard Deviation (1).
12. The Standard Deviation (2).
13. Bivarate Analysis and Scattergrams.
14. Regression.
15. Parametric Correlation and Preview of Significance.
16. Linking Sample and Population.
17. Simple Probability.
18. Discrete Random and Binomial.
19. From Binomial to Standard Normal.
20. The Importance of Being Normal.
21. Estimating a Mean with Confidence.
22. Confidence in Proportions and Other Things.
23. Whats the Real Difference?
24. Are they Genuine Scrawlballs?.
25. A Tale of Two Tails.
26. 73 Out of 100 Drink Devil's Downfall.
27. Ours Are Bigger Than Theirs.
28. Probability, Precise Significance and the Normal Approximation to the Binomial.
29. Small Samples, the t-test and Freedom.
30. Comparison of Variances (and Standard Deviations).
31. Correlation and Significance.
32. A Significant Regression.
33. Introduction to Non-Parametric Tests.
34. Two Tests for Random Samples.
35. Non-Parametric Median Tests.
36. One-Sample Non-Parametric Tests: Contingency and Chi-Squared Tests.
37. Before and After.
38. Non-Parametric Correlation.
39. The Discrete Uniform and Geometric Distributions.
40. Continuous Distributions: Rectangular and Triangular.
41. The Poisson Distribution and Random Events.
42. Poisson and Approximation.
43. The Exponential Probability Distribution.
44. Goodness of Fit.
45. Further Probability.
46. Index Numbers.
47. Time Series.
Appendix A: use of pocket calculators.
Appendix B: tricks of calculation.
Appendix C: sampling.
Appendix D: statistical tables

Additional information

GOR002731864
9780201178029
0201178028
Statistics Explained by John Parry Lewis
John Parry Lewis
Used - Very Good
Paperback
Pearson Education (US)
1998-08-18
632
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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