eBooks are accessible online, and many are available for download or 2 week check out.
Basic Statistics: Understanding Conventional Methods and Modern Insights by Rand R. WilcoxThis introductory statistics textbook for non-statisticians covers basic principles, concepts, and methods routinely used in applied research. What sets this text apart is the incorporation of the many advances and insights from the last half century when explaining basic principles. Theseadvances provide a foundation for vastly improving our ability to detect and describe differences among groups and associations among variables and provide a deeper and more accurate sense of when basic methods perform well and when they fail. Assuming no prior training, Wilcox introduces studentsto basic principles and concepts in a simple manner that makes these advances and insights, as well as standard ideas and methods, easy to understand and appreciate.
Publication Date: 2009
Introductory Statistics by Barbara Illowsky; Susan DeanIntroductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
Publication Date: 2013
Introductory Statistics and Analytics by Peter C. BruceConcise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrap A uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic probability and statistics. Originally class-tested at one of the first online learning companies in the discipline, www.statistics.com, the book primarily focuses on applications of statistical concepts developed via resampling, with a background discussion of mathematical theory. This feature stresses statistical literacy and understanding, which demonstrates the fundamental basis for statistical inference and demystifies traditional formulas. The book begins with illustrations that have the essential statistical topics interwoven throughout before moving on to demonstrate the proper design of studies. Meeting all of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) requirements for an introductory statistics course, Introductory Statistics and Analytics: A Resampling Perspective also includes: Over 300 ?Try It Yourself? exercises and intermittent practice questions, which challenge readers at multiple levels to investigate and explore key statistical concepts Numerous interactive links designed to provide solutions to exercises and further information on crucial concepts Linkages that connect statistics to the rapidly growing field of data science Multiple discussions of various software systems, such as Microsoft Office Excel#65533;, StatCrunch, and R, to develop and analyze data Areas of concern and/or contrasting points-of-view indicated through the use of ?Caution? icons Introductory Statistics and Analytics: A Resampling Perspective is an excellent primary textbook for courses in preliminary statistics as well as a supplement for courses in upper-level statistics and related fields, such as biostatistics and econometrics. The book is also a general reference for readers interested in revisiting the value of statistics.
Publication Date: 2014
Statistics in Plain English by Timothy C. UrdanStatistics in Plain English, Second Edition provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. It presents brief explanations of statistical concepts and techniques in simple, everyday language. Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included. New features in the second edition include: an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution; new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one onnbsp;nonparametric statistics; more graphs and more precise descriptions of each statistic; and a discussion of confidence intervals. This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences. Materials formerly available with this book on CD-ROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the right-hand column.
Publication Date: 2005
Circulating books may be checked out in 3 week intervals.
Chance Rules: An Informal Guide to Probability, Risk, and Statistics by Brian S. Everitt"The stakes are high. Without artful instruction, many students will never acquire the literacy skills they need not only to meet Common Core Standards but also to meet the challenges this brave new world is sure to deal them." -Carol Jago Again and again the Common Core Standards state that students must read "proficiently and independently" but how do we achieve this when students are groaning about having to read demanding literature and looking for ways to pass the class without turning pages? Carol Jago shows middle and high school teachers how to create English classrooms where students care about living literate lives and develop into proficient independent readers. With 50% new material, With Rigor for All, Second Edition features: integration of the Common Core State Standards as teaching touchstones YA lit pairings with classic texts to aid comprehension for middle and high school students tips to motivate reluctant readers with immersion, encouragement, and small steps a study guide and guidelines for curriculum development. Students need books that mirror their own experiences and if you teach literature that you love, your students will be more likely to love it too. Let Carol show you how to create an individually designed curriculum in which students read literary works of comparable quality, complexity, and range and enjoy doing it! CUSTOMER QUESTIONS: Question 1: In chapter 7 you discussed testing that teaches (also one of my favorite chapters!) You gave me some great, realistic ideas for assessment. What advice would you give to teachers that feel they must "teach to the test?" Some teachers feel if they don''t assess the way their students are assessed on state exams they are not adequately preparing them. What would you say to those teachers? Teaching to the test is a waste of time. Long term, it doesn''t "take." The new Common Core assessments are going to include performance tasks that will require students to read and write extensively. I''m hoping this will help send the message that preparing students for the occasional high stakes moments is best accomplished by teaching them authentically to read and write well. And don''t forget listening and speaking! If I were in charge of the world, every child would participate regularly in Socratic seminars -- critical thinking about critical texts, K-12. Question 2: What do you think is the most important thing for teachers to understand or embrace as they move forward with implementing the Common Core State Standards? The most important thing for teachers to understand about the Common Core is that it is a clarion call to accelerate learning in our classrooms. More is more when it comes to reading and writing. At the moment there is still too much filling out of worksheets going on in classrooms. Just calling the page a "graphic organizer" doesn''t make it less of a fill-in-the-blanks task. How to include nonfiction along with literature? Have students read twice as much over the course of the year (easier said than done, I know!)
Call Number: QA273 .E84 1999
Publication Date: 1999
Elementary Statistics by Mario F. TriolaFor courses in Introductory Statistics Real data brings statistics to life From opinion polls and clinical trials to self-driving cars, statistics influences and shapes the world around us. Best-selling author Marty Triola is committed to keeping Elementary Statistics current--with an unprecedented amount of current real data--so that students of all majors understand the role of statistics in the world around them. In addition to an abundance of new data sets, examples, and exercises, the 13th Edition is designed to be even more effective for today's instructors with the addition of learning objectives as an organizational tool, larger data sets, and new topics and organization in line with advancements in statistics education. In addition, students will find more support in an all-new series of videos, more opportunities for practice, and improved support for statistical software. Elementary Statistics is part of a series that also includes an Essentials version as well as technology-specific texts, Elementary Statistics Using the TI 83/84 Plus Calculator and Elementary Statistics Using Excel. Data sets and other resources for this series are available at our website. Also available with MyLab Statistics MyLab(tm) Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.
Call Number: Reserve - Ask at circulation desk
Publication Date: 2017
Statistics for People Who (Think They) Hate Statistics by Neil J. SalkindWritten for anyone who wants to learn or brush-up on the basics of statistics but is anxious of their abilities, this book offers a step-by-step introduction to the topic. The book begins with an introduction to the `language′ of statistics, and then covers descriptive statistics and inferential statistics. Throughout, the author offers readers: a `Difficulty Rating Index′ for each chapter′s material; Tips for doing and thinking about a statistical technique; top tens for everything from the best ways to create a graph to the most effective techniques for data collection; steps that break techniques down into a clear sequence of procedures; SPSS tips for executing each major statistical technique; and time to practice exercises at the end of each chapter, followed by worked out solutions. The book concludes with a statistical software sampler and a description of the best Internet sites for statistical information and data resources. Readers also have access to a website for downloading data that they can use to practice additional exercises from the book. Students and researchers will appreciate the book′s unhurried pace and thorough, friendly presentation.
Call Number: HA29 .S2365 2000
Publication Date: 2000
Statistics for the Utterly Confused by Lloyd R. JaisinghStatistics for the Utterly Confused, Second Edition When it comes to understanding statistics, even good students can be confused. Perfect for students in any introductory non-calculus-based statistics course, and equally useful to professionals working in the world, Statistics for the Utterly Confused is your ticket to success. Statistical concepts are explained step-by-step and applied to such diverse fields as business, economics, finance, and more. The message of Statistics for the Utterly Confused is simple: you don't have to be confused anymore. Updated and expanded to give you the latest changes in the field, this up-to-the-minute edition includes many new examples of Excel output, the most widely used of all statistics programs; a new chapter on Analysis of Variance (ANOVA); and 200 additions to the 700 self-testing questions and answers. The expert author's Web site also gives you tons of fresh examples, practice problems, and strategies--so you can go from utterly confused to totally prepared in no time! Inside, you'll discover how to: Grasp the meaning of everyday statistical concepts Find out what's probable and what isn't Read, understand, and solve statistics problems Improve your scores on exams Use your skills in any field
Call Number: QA276.18 J35 2006
Publication Date: 2006
Statistics Super Review by M. Fogiel (Contribution by)Get all you need to know with Super Reviews Each Super Review is packed with in-depth, student-friendly topic reviews that fully explain everything about the subject. The Statistics Super Review includes frequency distributions, numerical methods of describing data, measures of variability, probability, distributions, sampling theory, statistical inference, general linear model inferences, experimental design, the chi-square test, and time series. Take the Super Review quizzes to see how much you've learned - and where you need more study. Makes an excellent study aid and textbook companion. Great for self-study DETAILS- From cover to cover, each in-depth topic review is easy-to-follow and easy-to-grasp - Perfect when preparing for homework, quizzes, and exams - Review questions after each topic that highlight and reinforce key areas and concepts- Student-friendly language for easy reading and comprehension- Includes quizzes that test your understanding of the subject
Call Number: QA276.19 .S73 2000
Publication Date: 2000
Statistics with Common Sense by David KaultApplying statistical results to real life situations can be difficult or futile if you can't be certain what the results actually mean. This reference guide provides readers with the frequently elusive link between statistical results and practical applications. Students will learn the basic concepts and principles of statistics and probability, without getting bogged down in complicated theories and abstractions. Many statistics texts rely too heavily on mathematical formulas. Kault restores the emphasis to understanding statistical results and using common sense in decision making. Everyday examples bring the concepts to life. In the entry on hypothesis testing, Kault examines how a statistical result incorrectly overruled the common sense of many doctors. A chapter on random variables shows the chance that students will carry cell phones, and a chapter on categorical measurements uses statistics to determine the efficiency of a new treatment for a serious disease. Each chapter ends with questions that will help students further understand important concepts. Useful on its own and perfect as a means of expanding classroom discussions, this book is ideal for high school students or anyone needing to review the basics of statistics.
This program introduces and develops concepts of probability. Topics include: how to calculate probability of some types of random events, how probability can be used in determining costs of insurance, types of random variables (discrete and continuous), independent and dependent events, compound events, conditional probability, normal distributions, and theoretical, experimental, and simulation methods for determining probabilities. 2007, Discovery Education. 67 minutes.
In this Discovering Math video, viewers will consider methods of displaying data, measures of central tendency, measures of variability, correlation, and line-fitting methods. Topics include: tables, bar graphs, histograms, scatter plots, line graphs, mean-mode-median, standard deviation, curve fitting line, median-fit line, and least-squares regression line.
2007, Discovery Education. 45 minutes.
In this Discovering Math video, viewers will consider outliers in data sets, aspects of data interpretation, sampling, and error and uncertainty in statistical inference. Topics include: random samples, biased samples, representative samples, stratified samples, mean, confidence interval, measurement error, misleading data, bias, and data misinterpretation.
2007, Discovery Education. 56 minutes.
In this series, Professor Naomi Lowe discusses the branch of mathematics that focuses on the organization, analysis, and interpretation of a group of numbers. As she explains, even though statistics is a branch of mathematics, it is a field of study with applicability to almost any topic of interest.
2010, Palomar Community College District. 15 videos, about 30 minutes each.