Posted on 2019-04-18, by manhneovn.
English | February 20, 2019 | ISBN: N/A | ASIN: B07P15G2QK | 485 pages | AZW3 | 18.44 MB
Use excel's statistical gear to transform your facts into expertise
Nationally recognized excel expert conrad carlberg shows you a way to use excel 2016 to carry out middle statistical tasks each commercial enterprise expert, pupil, and researcher must master. using actual-global examples and downloadable workbooks, carlberg facilitates you pick the proper approach for each problem and get the maximum out of excel's statistical capabilities. along the way, he clarifies perplexing statistical terminology and allows you keep away from not unusual mistakes.
You'll learn how to use correlation and regression, analyze variance and covariance, and take a look at statistical hypotheses the use of the ordinary, binomial, t, and f distributions. to help you make correct inferences based on samples from a population, carlberg offers insightful coverage of essential topics ranging from experimental layout to the statistical electricity of f checks. updated for excel 2016, this guide covers each modern-day consistency features and legacy compatibility features.
Becoming an professional with excel data has never been less complicated! on this ebook, you'll find crystal-clear instructions, insider insights, and entire step-by using-step guidance.
Master excel's most useful descriptive and inferential statistical gear
recognize how values cluster collectively or disperse, and how variables circulate or classify jointly
inform the truth with facts-and apprehend whilst others don't
infer a populace's characteristics from a sample's frequency distribution
explore correlation and regression to find out how variables flow in tandem
use excel consistency functions together with stdev.s( ) and stdev.p( )
test differences between manner using z checks, t assessments, and excel's facts analysis add-in
perceive skewed distributions the use of excel's new integrated box-and-whisker Descriptions and histograms
examine statistical strength and manipulate hazard
explore how randomized block and cut up Description designs modify the derivation of f-ratios
use coded multiple regression evaluation to perform anova with unbalanced factorial designs
examine covariance with ancova, and nicely use more than one covariance
take advantage of advocated pivottables, brief analysis, and different excel 2016 shortcuts
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