| 000 | 02587cam a2200337 a 4500 | ||
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| 001 | vtls000308408 | ||
| 003 | UG-KaMUL | ||
| 005 | 20250614162730.0 | ||
| 020 | _a9780470850794 (pbk. : alk. paper) | ||
| 020 | _a0470850795 (pbk. : alk. paper) | ||
| 039 |
_a202307031535 _d992 _c202105171418 _d952 _c202104191229 _d960 _c202103041315 _d960 _y 201205311312 _z916 |
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| 040 |
_dGZT _dDLC _dUG-KaMUL |
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| 082 |
_a519.5 _222 |
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| 092 | _a519.5 BRA | ||
| 100 | _aBradley, Teresa. | ||
| 245 |
_a Essential statistics for economics, business and management / _cTer esa Bradley. |
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| 260 |
_aChichester, England : _bJohn Wiley & Sons, _cc2007. |
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| 300 |
_ax, 663 p. : _bill. ; _c25 cm. |
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| 500 | _aIncludes index. | ||
| 505 | _aData collection and its graphical presentation -- Descriptive statis tics Regression and correlation: introduction -- Probability -- Introdu ction to probability distributions -- Sampling distributions for means and proportions -- Confidence intervals for means and proportions -- Te sts of hypothesis for means and proportions -- Inference from small sam ples. Confidence intervals and tests of hypothesis -- Analysis of varia nce -- Chi-squared tests -- Regression analysis -- Appendix A: technica lities and conventions for defining class intervals, mid-interval, widt hs, limits, boundaries -- Appendix B: formulae for calculating the quar tiles 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 varia nce of proportions by expected values -- Appendix G: confidence interva ls for means and proportions -- Appendix H: degrees of freedom -- Appen dix I: notes on summations and double summations -- Appendix J: express ing the estimates of variance as sums of squares divided by degrees of freedom in their simplest form -- Appendix K: sums of squares for the o ne-way ANOVA -- Appendix L: fitted values and residuals -- Appendix M: sums of squares identity for two-way ANOVA. | ||
| 650 |
_aEconomics _xStatistical methods. |
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| 650 | _aCommercial statistics. | ||
| 852 | _dML | ||
| 852 | _dBB.FEMA | ||
| 852 | _dJINJA | ||
| 942 |
_2ddc _cBK |
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| 999 |
_c609604 _d609604 |
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