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

Includes bibliographical references and index.

1. Data collection and its graphical presentation -- 2. Descriptive statistics -- 3. Regression and correlation : introduction -- 4. Probability -- 5. Introduction to probability distributions -- 6. Sampling distributions for means and proportions -- 7. Confidence intervals for means and proportions -- 8. Tests of hypothesis for means and proportions -- 9. Inference from small samples : confidence intervals and tests of hypothesis -- 10. Analysis of variance -- 11. Chi-squared tests -- 12. Regression analysis -- App. A. Technicalities and conventions for defining class intervals, mid-interval, widths, limits, boundaries -- App. B. Formulae for calculating the quartiles for grouped data -- App. C. Outline of derivation of formulae (3.2) and (3.3) for the slope and intercept of the least-squares line, Y = a + bX -- App. D. Brief review of the mathematics for the binomial -- App. E. The number e -- App. F. Calculation of mean and variance of proportions by expected values -- App. G. Confidence intervals for means and proportions -- App. H. Degrees of freedom -- App. I. Notes on summations and double summations -- App. J. Expressing the estimates of variance as sums of squares divided by degrees of freedom in their simplest form -- App. K. Sums of squares for the one-way ANOVA -- App. L. Fitted values and residuals -- App. M. Sums of squares identity for two-way ANOVA.