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A basic course in statistics G M Clarke; D Cooke

By: Material type: TextPublication details: London : E. Arnold, 1992. Edition: 3rdDescription: 451 pages : illustrations ; 25 cmISBN:
  • 0340567724
  • 9780340567722
Subject(s): LOC classification:
  • QA276.12
Contents:
Introduction -- List of projects -- Notation -- 1. Populations and variates -- 2. Measures of the centre of a set of observations -- 3. Samples and populations -- 4. The measurement of variability -- 5. Looking at data -- 6. Probability -- 7. Probabilities of compound events -- 8. Discrete random variables -- 9. Expectation of random variables -- 10. Joint distributions -- 11. Estimation -- 12. Collecting data -- 13. Significance testing -- 14. Continuous random variables -- 15. The normal distribution -- 16. Sampling distributions of means and related quantities -- 17. Significance tests using the normal distribution -- 18. Estimation of intervals and parameters -- 19. Hypothesis tests using the [chi][superscript 2] distribution -- 20. The Poisson distribution -- 21. Correlation -- 22. The analysis of variance -- 23. Simple linear regression -- 24. Multiple regression -- App. I. The binomial series expansion -- App. II. The exponential function -- App. III. Derivatives and integrals of the exponential function -- App. IV. Integrals related to the normal distribution -- App. V. The limit of (1 + x/n)[superscript n] as n [actual symbol not reproducible] [infinity] -- App. VI. A derivation of the Poisson distribution -- App. VII. Partial differentiation.
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Books Methodist University Library Main General Stacks Reference QA276.12 (Browse shelf(Opens below)) Available 4619

Includes index.


Introduction --
List of projects --
Notation --
1. Populations and variates --
2. Measures of the centre of a set of observations --
3. Samples and populations --
4. The measurement of variability --
5. Looking at data --
6. Probability --
7. Probabilities of compound events --
8. Discrete random variables --
9. Expectation of random variables --
10. Joint distributions --
11. Estimation --
12. Collecting data --
13. Significance testing --
14. Continuous random variables --
15. The normal distribution --
16. Sampling distributions of means and related quantities --
17. Significance tests using the normal distribution --
18. Estimation of intervals and parameters --
19. Hypothesis tests using the [chi][superscript 2] distribution --
20. The Poisson distribution --
21. Correlation --
22. The analysis of variance --
23. Simple linear regression --
24. Multiple regression --
App. I. The binomial series expansion --
App. II. The exponential function --
App. III. Derivatives and integrals of the exponential function --
App. IV. Integrals related to the normal distribution --
App. V. The limit of (1 + x/n)[superscript n] as n [actual symbol not reproducible] [infinity] --
App. VI. A derivation of the Poisson distribution --
App. VII. Partial differentiation.

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