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

Includes index.

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.

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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