Preface Statistics is seldom the most eagerly anticipated course of a business student. It typically has the reputation of being a boring, complicated, and confusing mix of mathematical formulas and computers. Our goal in writing this casebook and the companion volume (Business Analysis Using Regression) was to change that impression by showing how statistics yields insights and answers interesting business questions. Rather than dwell on underlying formulas, we show how to use statistics to answer questions. Each case study begins with a business question and concludes with an answer to that question. Formulas appear only as needed to address the questions, and we focus on the insights into the problem provided by the mathematics. The mathematics serves a purpose. The material in this casebook is organized into 11 qclassesq of related case studies that develop a single, key idea of statistics. The analysis of data using statistics is seldom very straightforward, and each analysis has many nuances. Part of the appeal of statistics is this richness, this blending of substantive theories and mathematics. For newcomers, however, this blend is too rich, and they are easily overwhelmed and unable to sort out the important ideas from nuances. Although later cases in these notes suggest this complexity, we do not begin that way.One way of making such a claim precise is to express it through what we call a a model. ... have not seen such an equation before, this one does not look like the typical equation for a straight line that you would have seen in a math class, but it is! Ita#39;s got a slope, B1, and an intercept Bo. For the generic situation, we have a predictor variable called X, and a response variable called Y, so X tries to predict theanbsp;...
|Title||:||Basic Business Statistics|
|Author||:||Dean P. Foster, Robert A. Stine, Richard P. Waterman|
|Publisher||:||Springer Science & Business Media - 2012-12-06|