This text provides a practical understanding of the value of statistics in the real world. The final chapter introduces classical time-series analysis and how it applies to business and economics. In addition, the author develops the concepts behind the linear relationship between two numeric variables (simple regression) as well as the potentially nonlinear relationships among more than two variables (multiple regression). The text also discusses hypothesis testing for one and two samples, contingency tables, goodness-of-fit, analysis of variance, and population variances. It covers basic probability tools, Bayes’ theorem, sampling, estimation, and confidence intervals. To help with the examples, the author offers both actual and hypothetical databases on his website The text explores ways to describe data and the relationships found in data. Calculations can be performed using any standard spreadsheet package. Numerous interesting and important examples reflect real-life situations, stimulating students to think realistically in tackling these problems. Download Applied Statistics For Business And Economics books, Designed 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.
Leekley, Applied Statistics For Business And Economics Book available in PDF, EPUB, Mobi Format.
Applied Statistics For Business And Economics Applied Statisitics For Business And Economics by Robert M.
0 kommentar(er)
