Essential statistics for economics, business and management /
Intended for introductory undergraduate courses and for the statistics component of courses in quantitative methods, this text will help students learn how to start a problem, complete the calculations, and report the results in a way that makes sense to a non-statistician
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| Опубликовано: |
Chichester :
John Wiley & Sons,
c2007.
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| Предметы: | |
| Online-ссылка: | http://www.loc.gov/catdir/toc/ecip074/2006036194.html http://www.loc.gov/catdir/enhancements/fy0740/2006036194-d.html |
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| 040 | |a MUL |b eng |e AACR | ||
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| 100 | 1 | |a Bradley, Teresa. | |
| 245 | 1 | 0 | |a Essential statistics for economics, business and management / |c Teresa Bradley. |
| 260 | |a Chichester : |b John Wiley & Sons, |c c2007. | ||
| 300 | |a x, 663 p. : |b ill. ; |c 25 cm. | ||
| 504 | |a Includes index. | ||
| 505 | 2 | |a 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 -- Chi-squared tests -- Regression analysis -- Appendix A: technicalities and conventions for defining class intervals, mid-interval, 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 least-squares 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 one-way ANOVA -- Appendix L: fitted values and residuals -- Appendix M: sums of squares identity for two-way ANOVA. | |
| 520 | |a Intended for introductory undergraduate courses and for the statistics component of courses in quantitative methods, this text will help students learn how to start a problem, complete the calculations, and report the results in a way that makes sense to a non-statistician | ||
| 546 | |a eng | ||
| 650 | 0 | |a Economics | |
| 650 | 0 | |a Commercial statistics. | |
| 856 | 4 | 1 | |u http://www.loc.gov/catdir/toc/ecip074/2006036194.html |
| 856 | 4 | 2 | |u http://www.loc.gov/catdir/enhancements/fy0740/2006036194-d.html |
| 942 | |c BK | ||
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