Description
John Wiley A Basic Course in Statistics 2011 Edition by Geoffrey M. Clarke, D. Cooke
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. Table of contents :- IntroductionList of projectsNotation1. Populations and variates2. Measures of the centre of a set of observations3. Samples and populations4. The measurement of variability5. Looking at data6. Probability7. Probabilities of compound events8. Discrete random variables9. Expectation of random variables10. Joint distributions11. Estimation12. Collecting data13. Significance testing14. Continuous random variables15. The normal distribution16. Sampling distributions of means and related quantities17. Significance tests using the normal distribution18. Estimation of intervals and parameters19. Hypothesis tests using the y2 distribution20. The Poisson distribution21. Correlation22. The analysis of variance23. Simple linear regression24. Multiple regressionAppendix I. The binomial series expansionAppendix II. The exponential functionAppendix III. Derivatives and integrals of the exponential functionAppendix IV. Integrals related to the normal distributionAppendix V. The limit of (1 + x/n)n as n OC OCAppendix VI. A derivation of the Poisson distributionAppendix VII. Partial differentiationBibliographyAnswersHints on computing exercisesTablesIndex