A Basic Course in Statistics
Clarke, G.M.
A Basic Course in Statistics - 3rd ed. - London : E. Arnold, 1992. - 451 pages : illustrations ;
Includes Index
Preface to the fourth edition --
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.
This new edition includes computing exercises at the end of each chapter to reflect the growing use of computers in teaching statistics. It is designed for students taking introductory courses in statistics in school, technical colleges and universities.
9780340567722 0340567724
Mathematical statistics.
519.5 / CLA
A Basic Course in Statistics - 3rd ed. - London : E. Arnold, 1992. - 451 pages : illustrations ;
Includes Index
Preface to the fourth edition --
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.
This new edition includes computing exercises at the end of each chapter to reflect the growing use of computers in teaching statistics. It is designed for students taking introductory courses in statistics in school, technical colleges and universities.
9780340567722 0340567724
Mathematical statistics.
519.5 / CLA