This guide is designed to introduce students to the fundamentals of statistics with special emphasis on the major topics covered in their STA 2023 class including methods for analyzing sets of data, probability, probability distributions and more.
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Published by: Barbara Illowsky, De Anza College
Susan Dean, De Anza College; Rice University
Licenses: CC BY 4.0
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Schaum's Outline of Statistics by Larry Stephens; Murray R. SpiegelOffers a tool for getting a handle on statistics. Suitable for independent study, brushup before exams, or preparation for professional tests, this title contains over 508 solved problems. It features 694 additional problems to use for practice, with answers at the back of the book. It is a useful supplement for a course in statistics.
Statistics 101 by David BormanA comprehensive guide to statistics--with information on collecting, measuring, analyzing, and presenting statistical data--continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we're responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you'll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun. Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered.
Call Number: eBook
Publication Date: 2018-12-18
Practice Makes Perfect Statistics by Sandra McCuneA no-nonsense practical guide to statistics, providing concise summaries, clear model examples, and plenty of practice, making this workbook the ideal complement to class study or self-study, preparation for exams or a brush-up on rusty skills. About the Book Established as a successful practical workbook series with over 20 titles in the language learning category, Practice Makes Perfect now provides the same clear, concise approach and extensive exercises to key fields within mathematics.The key to the Practice Makes Perfect series is the extensive exercises that provide learners with all the practice they need for mastery. Not focused on any particular test or exam, but complementary to most statistics curricula Deliberately all-encompassing approach: international perspective and balance between traditional and newer approaches. Large trim allows clear presentation of worked problems, exercises, and explained answers. Features No-nonsense approach: provides clear presentation of content. Over 500 exercises and answers covering all aspects of statistics Successful series: "Practice Makes Perfect" has sales of 1,000,000 copies in the language category - now applied to mathematics Workbook is not exam specific, yet it provides thorough coverage of the statistics skills required in most math tests.
Call Number: eBook
Publication Date: 2010-07-12
Probability and Statistics by John TabakProbability deals with measuring the likelihood of a particular outcome or event. Statistics is the collection, tabulation, and systematic classification of data, especially for use in predicting probable future trends. Crude ideas of probability and statistics likely evolved with the earliest humans, helping them decide where to go in search of food, shelter, and safety. Today's theories and methods of probability and statistics enable people to collect and analyze information relating to more complex situations than in the past, for example the prevalence or incidence of diseases among a group of people, and make decisions calculated to result in a certain outcome. this branch of mathematical investigation. Covering everything from ancient games of chance played around the world and the theories of Fermat and Pascal to the specious use of statistics, phrenology, and statistical methods to stop epidemics, this book offers a comprehensive look at the historical development and uses of probability and statistics. Modern applications of these ideas, the use of probability in modern safety analysis and phone networks, and the use of statistics in epidemiology and actuarial science, are also presented in this clearly written and illustrated reference.
Call Number: eBook
Publication Date: 2004-05-01
Even You Can Learn Statistics and Analytics by David M. Levine; David F. StephanThought you couldn't learn statistics? You can - and you will! Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date introduction to statistics - for everyone! Now fully updated for "big data" analytics and the newest applications, it'll teach you all the statistical techniques you'll need for finance, marketing, quality, science, social science, and more - one easy step at a time. Simple jargon-free explanations help you understand every technique, and extensive practical examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than ever - all updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample models - including complete solutions you can put right to work! Learn how to do all this, and more: Apply statistical techniques to analyze huge data sets and transform them into valuable knowledge Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3 Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses with Z, t, chi-square, ANOVA, and other techniques Perform powerful regression analysis and modeling Use multiple regression to develop models that contain several independent variables Master specific statistical techniques for quality and Six Sigma programs Hate math? No sweat. You'll be amazed at how little you need. Like math? Optional "Equation Blackboard" sections reveal the mathematical foundations of statistics right before your eyes. If you need to understand, evaluate, or use statistics in business, academia, or anywhere else, this is the book you've been searching for!
Call Number: eBook
Publication Date: 2014-12-07
More Damned Lies and Statistics by Joel BestIn this sequel to the acclaimed Damned Lies and Statistics, which the Boston Globe said "deserves a place next to the dictionary on every school, media, and home-office desk," Joel Best continues his straightforward, lively, and humorous account of how statistics are produced, used, and misused by everyone from researchers to journalists. Underlining the importance of critical thinking in all matters numerical, Best illustrates his points with examples of good and bad statistics about such contemporary concerns as school shootings, fatal hospital errors, bullying, teen suicides, deaths at the World Trade Center, college ratings, the risks of divorce, racial profiling, and fatalities caused by falling coconuts. More Damned Lies and Statistics encourages all of us to think in a more sophisticated and skeptical manner about how statistics are used to promote causes, create fear, and advance particular points of view. Best identifies different sorts of numbers that shape how we think about public issues: missing numbers are relevant but overlooked; confusing numbers bewilder when they should inform; scary numbers play to our fears about the present and the future; authoritative numbers demand respect they don't deserve; magical numbers promise unrealistic, simple solutions to complex problems; and contentious numbers become the focus of data duels and stat wars. The author's use of pertinent, socially important examples documents the life-altering consequences of understanding or misunderstanding statistical information. He demystifies statistical measures by explaining in straightforward prose how decisions are made about what to count and what not to count, what assumptions get made, and which figures are brought to our attention. Best identifies different sorts of numbers that shape how we think about public issues. Entertaining, enlightening, and very timely, this book offers a basis for critical thinking about the numbers we encounter and a reminder that when it comes to the news, people count--in more ways than one.