Applied Statistics for Business and Economics
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 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 final chapter introduces classical time-series analysis and how it applies to business and economics.
This text provides a practical understanding of the value of statistics in the real world. After reading the book, students will be able to summarize data in insightful ways using charts, graphs, and summary statistics as well as make inferences from samples, especially about relationships.
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Boca Raton, FL
Commercial statistics, economics, statistical methods
Leekley, Robert M., "Applied Statistics for Business and Economics" (2010). IWU Authors Bookshelf. 9.