Overview
Use Excel 2013’s statistical tools to transform your data into knowledge
Conrad Carlberg shows how to
use Excel 2013 to perform 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 recently introduced consistency functions.
Along the way, he clarifies confusing statistical terminology and
helps you avoid common mistakes.
You’ll learn how to use correlation and regression, analyze
variance and covariance, and test statistical hypotheses using the
normal, binomial, t, and F distributions. To help you make accurate
inferences based on samples from a population, this edition adds
two more chapters on inferential statistics, covering crucial
topics ranging from experimental design to the statistical power of
F tests.
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 extensive web-based resources.
Master Excel’s most useful descriptive and inferential statistical tools
Tell the truth with statistics—and recognize when others don’t
Accurately summarize sets of values
Infer a population’s characteristics from a sample’s frequency distribution
Explore correlation and regression to learn how variables move in tandem
Use Excel consistency functions such as STDEV.S() and STDEV.P()
Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in
Use ANOVA to test differences between more than two means
Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha
Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2013 shortcuts
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