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Titel: Statistics For Dummies 2nd Edition
Auteur: Deborah J. Rumsey
ISBN: 9781119293521
Conditie: Echt gebruikt

Statistics For Dummies, 2nd Edition (9781119293521) was previously published as Statistics For Dummies, 2nd Edition (9780470911082). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.

• Grasp statistical ideas, formulas, and calculations
• Interpret graphs and polls and determine probability
• Analyze data using many techniques

The simple way to study statistics Stymied by statistics? Fear not! In easy-to-understand terms, this guide shows you how to make sense of statistics. From collecting, graphing, and critiquing data to calculating confidence intervals and hypothesis tests, you'll have everything you need to analyze data with confidence. In no time, you'll be deciphering binomial, normal, t-, and sampling distributions; tackling regression and two-way tables; and much more. Inside…

• Plain-English definitions
• Understanding and critiquing polls
• Information on organizing data
• Explanations of random variables
• Facts about the Central Limit Theorem
• Data analysis tools

The fun and easy way to get down to business with statistics Stymied by statistics? No fear? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more.

• Tracks to a typical first semester statistics course
• Updated examples resonate with today's students
• Explanations mirror teaching methods and classroom protocol

Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

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