Expanded and revised to include new computing exercises using actual data along with tips, solutions and a set of updated questions. Computer use is encouraged to facilitate analysis of data sets too large to be done by hand; to assist in the drawing of diagrams, histograms and scatter plots; to simulate probability models in order to illustrate probability and statistical theory. Explains how to tackle computing exercises using the statistical package MINITAB.
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 y2 distribution
20. The Poisson distribution
21. Correlation
22. The analysis of variance
23. Simple linear regression
24. Multiple regression
Appendix I. The binomial series expansion
Appendix II. The exponential function
Appendix III. Derivatives and integrals of the exponential function
Appendix IV. Integrals related to the normal distribution
Appendix V. The limit of (1 + x/n)n as n OC OC
Appendix VI. A derivation of the Poisson distribution
Appendix VII. Partial differentiation
Bibliography
Answers
Hints on computing exercises
Tables
Index
