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Essential statistics for economics, business and management / Teresa Bradley.

By: Material type: TextTextPublication details: Hoboken, NJ : John Wiley & Sons, 2007Description: x, 663 p. : ill.; 25 cmISBN:
  • 9780470850794 (alk. paper)
Subject(s): LOC classification:
  • HB 137 B72E 2007
Contents:
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.
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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.

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