Seeing Through Statistics

This book PDF is perfect for those who love Mathematics genre, written by Jessica M. Utts and published by Cengage Learning which was released on 14 January 2014 with total hardcover pages 656. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Seeing Through Statistics books below.

Seeing Through Statistics
Author : Jessica M. Utts
File Size : 54,8 Mb
Publisher : Cengage Learning
Language : English
Release Date : 14 January 2014
ISBN : 1285050886
Pages : 656 pages
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Seeing Through Statistics by Jessica M. Utts Book PDF Summary

The fourth edition of this popular book by Jessica Utts develops statistical literacy and critical thinking through real-world applications, with an emphasis on ideas, not calculations. This text focuses on the key concepts that educated citizens need to know about statistics. These ideas are introduced in interesting applied and real contexts, without using an abundance of technicalities and calculations that only serve to confuse students. NEW for Fall 2020 - Turn your students into statistical thinkers with the Statistical Analysis and Learning Tool (SALT). SALT is an easy-to-use data analysis tool created with the intro-level student in mind. It contains dynamic graphics and allows students to manipulate data sets in order to visualize statistics and gain a deeper conceptual understanding about the meaning behind data. SALT is built by Cengage, comes integrated in Cengage WebAssign Statistics courses and available to use standalone. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Seeing Through Statistics

The fourth edition of this popular book by Jessica Utts develops statistical literacy and critical thinking through real-world applications, with an emphasis on ideas, not calculations. This text focuses on the key concepts that educated citizens need to know about statistics. These ideas are introduced in interesting applied and real

DOWNLOAD
The Tiger That Isn t

Mathematics scares and depresses most of us, but politicians, journalists and everyone in power use numbers all the time to bamboozle us. Most maths is really simple - as easy as 2+2 in fact. Better still it can be understood without any jargon, any formulas - and in fact not even

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Visual Statistics

A visually intuitive approach to statistical data analysis Visual Statistics brings the most complex and advanced statisticalmethods within reach of those with little statistical training byusing animated graphics of the data. Using ViSta: The VisualStatistics System-developed by Forrest Young and Pedro Valero-Moraand available free of charge on the Internet-students can

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Critical Statistics

Awarded the 2019 Most Promising New Textbook Award by the Textbook & Academic Authors Association. This accessible and entertaining new textbook provides students with the knowledge and skills they need to understand the barrage of numbers encountered in their everyday lives and studies. Almost all the statistics in the news, on social

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The Strunk and White of statistics team up to help the average person navigate the numbers in the news Drawing on their hugely popular BBC Radio 4 show More or Less, journalist Michael Blastland and internationally known economist Andrew Dilnot delight, amuse, and convert American mathphobes by showing how our everyday

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Statistical Power Analysis for the Behavioral Sciences

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability,

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Introductory Statistics

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The

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How to Lie with Statistics

If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product

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