OER for Alvarez COB

Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.

Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it.

Material presented in the following pages represents over twenty years of experience in teaching the material contained therein. The high price of textbooks and a desire to customize course material for my own needs caused me to write this material. The major features of the text include: Development of the concept of creating mathematical models of the world; An extensive treatment of measurement and measurement scales as a model-building procedure; A slightly different organizational scheme than most introductory texts, with material presented in the following order: frequency polygons, models of frequency polygons, the normal curve, and then statistics. In addition, the presentation of transformations, linear transformations, and then linear regression follows a natural progression of material; Elimination of almost all computational formulas along with a general discussion of how to use a statistical calculator. This has been taken a step further in the Web Edition of the text as it is now possible to eliminate tables, such as the normal curve table, and all the computational procedures that go with them; This Web Edition presents copious examples of the use of SPSS/WIN 7.0 to do statistical procedures; The presentation of hypothesis testing as a process of testing mathematical models of the world.

OpenIntro Statistics strives to be a complete introductory textbook of the highest caliber. Its core derives from the classic notions of statistics education and is extended by recent innovations. The textbook meets high quality standards and has been used at Princeton, Vanderbilt, UMass Amherst, and many other schools.

Statistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.

Online statistics open textbook and additional resources to assist students in understanding of statistics. Topics covered include Analysis of Variance, Boxplot, Confidence interval, Contrast among means, Correlated t-test, Correlation, Histogram, Independent groups t-test, Regression, Repeated measures ANOVA, and t-test.
The applets in the simulations, demonstrations, an d caste studiesare in the public domain and can therefore be used without restriction. Simulations and demonstrations and source code are available for download.

The focus of this book is the science of how to design, operate and manage warehouse facilities. The authors emphasize the building of detailed mathematical and computer models that capture the economics of the management of space and labor. The goal of this approach is to give managers and engineers the tools to make their operations successful.