Your business statistics pretty much tells you about trends and to use that information make logical solutions to problems. This guide gives a refresher on the types of data and their sources, the importance and limitations of statistics and other basic ideas on the subject. Students and entrepreneurs will find this guide extremely handy in their day-to-day conquests. Invest in a copy today.

Packed with key definitions, concepts, and equations, our Business Statistics guide covers how to read and use data to make clear business decisions. This essential reference tool is written and organized for quick access to critical points allowing students and professionals to increase grades and sharpen skills of collecting, organizing, and summarizing data for business.

A business statistics study guide will help students by laying out the specifics points within the subject. It provides the solid information to memorize and test oneself against, without the general filler found within a classroom discussion. This allows one to pick up any remaining information that he or she might have missed from the statistics lectures.

Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.

A business statistics study guide will help students by laying out the specifics points within the subject. It provides the solid information to memorize and test oneself against, without the general filler found within a classroom discussion. This allows one to pick up any remaining information that he or she might have missed from the statistics lectures.

A practical `cut to the chase′ handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes.

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