Friday, February 22, 2013

Statistical Analysis: Microsoft Excel 2010, Carlberg


Statistical Analysis: Microsoft Excel 2010 PDF Download Ebook. Conrad Carlberg describe Excel 2010’s statistical tools to transform your data into knowledge, gain a deeper understanding of your data, make more accurate and reliable inferences, and solve problems in fields ranging from business to health sciences.

Author shows how to use Excel 2010 to perform the core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including its new consistency functions. Along the way, you discover the most effective ways to use correlation and regression and analysis of variance and covariance. You see how to use Excel to test statistical hypotheses using the normal, binomial, t and F distributions.

Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by an extensive set of web-based resources. You can master Excel’s most useful descriptive and inferential statistical tools, tell the truth with statistics, and recognize when others don’t.

This text accurately summarizes sets of values to view how values cluster and disperse, infer a population’s characteristics from a sample’s frequency distribution, explore correlation and regression to learn how variables move in tandem so readers understand Excel’s new consistency functions, test differences between two means using z tests, t tests, and Excel’s.

Data Analysis Add-in is clearly explained so readers know how to use ANOVA and ANCOVA to test differences between more than two means. Authors explore statistical power by manipulating mean differences, standard errors, directionality, and alpha. There is an Excel workbook for each chapter, and each worksheet is keyed to one of the book's figures. You'll also find additional material, such as a chart that demonstrates how statistical power shifts as you manipulate sample size, mean differences, alpha and directionality.

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