Essential statistics for economics, business and management /
by Bradley, Teresa.
Material type: BookPublisher: Chichester, England ; Hoboken, NJ : John Wiley & Sons, c2007Description: x, 663 p. : ill. ; 25 cm.ISBN: 9780470850794 (pbk. : alk. paper); 0470850795 (pbk. : alk. paper).Subject(s): Economics  Statistical methods  Commercial statisticsOnline resources: Table of contents only  Publisher descriptionItem type  Location  Call number  Status  Date due 

Books 
Epoka University Library

HB 137 .B73 2007 (Browse shelf)  Available  
Books 
Epoka University Library

HB 137 .B73 2007 (Browse shelf)  Available  
Books 
Epoka University Library

HB 137 .B73 2007 (Browse shelf)  Available  
Books 
Epoka University Library

HB 137 .B73 2007 (Browse shelf)  Available  
Books 
Epoka University Library

HB 137 .B73 2007 (Browse shelf)  Available 
Includes index.
Data collection and its graphical presentation  Descriptive statistics Regression and correlation: introduction  Probability  Introduction to probability distributions  Sampling distributions for means and proportions  Confidence intervals for means and proportions  Tests of hypothesis for means and proportions  Inference from small samples. Confidence intervals and tests of hypothesis  Analysis of variance  Chisquared tests  Regression analysis  Appendix A: technicalities and conventions for defining class intervals, midinterval, widths, limits, boundaries  Appendix B: formulae for calculating the quartiles for group data  Appendix C: outline of derivation of formulae (3.2) and (3.3) for the slope and intercept of the leastsquares line, Y=a+bX  Appendix D: brief review of the mathematics for the binomial  Appendix E: the number e  Appendix F: calculation of mean and variance of proportions by expected values  Appendix G: confidence intervals for means and proportions  Appendix H: degrees of freedom  Appendix I: notes on summations and double summations  Appendix J: expressing the estimates of variance as sums of squares divided by degrees of freedom in their simplest form  Appendix K: sums of squares for the oneway ANOVA  Appendix L: fitted values and residuals  Appendix M: sums of squares identity for twoway ANOVA.
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