Description
Book SynopsisDesigned for a one-semester course, Applied Statistics for Business and Economics offers students in business and the social sciences an effective introduction to some of the most basic and powerful techniques available for understanding their world. Numerous interesting and important examples reflect real-life situations, stimulating students to think realistically in tackling these problems. Calculations can be performed using any standard spreadsheet package. To help with the examples, the author offers both actual and hypothetical databases on his website http://iwu.edu/~bleekley
The text explores ways to describe data and the relationships found in data. It covers basic probability tools, Bayes' theorem, sampling, estimation, and confidence intervals. The text also discusses hypothesis testing for one and two samples, contingency tables, goodness-of-fit, analysis of variance, and population variances. In addition, the author de
Table of Contents
Introduction to Statistics. Describing Data: Tables and Graphs. Describing Data: Summary Statistics. Basic Probability. Probability Distributions. Sampling and Sampling Distributions. Estimation and Confidence Intervals. Tests of Hypotheses: One-Sample Tests. Tests of Hypotheses: Two-Sample Tests. Tests of Hypotheses: Contingency and Goodness-of-Fit. Tests of Hypotheses: ANOVA and Tests of Variances. Simple Regression and Correlation. Multiple Regression. Time-Series Analysis. Appendices. Index.