000			02270nam a2200241 4500
005			20170415123315.0
008			09062402007 nju eng
020			_a9780470850794 (alk. paper) _c2457 Bht.
040			_aSPU
049			_bSPU-CHG
050	0	0	_aHB 137 _bB72E 2007
100	0		_aBradley, Teresa _9161072
245	1	0	_aEssential statistics for economics, business and management / _cTeresa Bradley.
260			_aHoboken, NJ : _bJohn Wiley & Sons, _c2007
300			_ax, 663 p. : _bill.; _c25 cm.
449		0	_a110210
505	0		_aData 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.
650		0	_aECONOMICS _xSTATISTICAL METHODS _937882
650		0	_aCOMMERCIAL STATISTICS _935635
942			_cGEN
998			_apim 0906 _bpim 0906
999			_c133613