A Mathematical Primer for Social Statistics (Fox John)(Paperback)

A Mathematical Primer for Social Statistics (Fox John)(Paperback)

A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic 'language' of matrices and linear algebra and its visual representation, vector geometry; differential and integral

John E. Freund's Mathematical Statistics with Applications: Pearson New International Edition (Miller Irwin)(Paperback / softback)

Thinking Through Statistics (Martin John Levi)(Paperback)

Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work, and one that makes a strong case for revising the way that we try to use statistics to support our theories. But don't let that daunt you. With clever examples and witty takeaways,

A Guide to R for Social and Behavioral Science Statistics (Gillespie Brian Joseph)(Paperback)

A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R, geared toward social and behavioral science students. Instructors Brian Gillespie, Kathleen Hibbert, and William E. Wagner, III, have combined a review of introductory statistics with an

Statistics: A Tool for Social Research and Data Analysis (Healey Joseph F.)(Paperback)

Extremely student friendly, Healey's STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, 11e, equips you with a solid understanding of statistical fundamentals and their practical application to current social issues -- no advanced math knowledge required. The text breaks down even the most

Statistics for the Health Sciences: A Non-Mathematical Introduction (Dancey Christine)(Paperback)

This is a highly accessible textbook on understanding statistics for the health sciences, both conceptually and via SPSS. The authors give clear explanations of the concepts underlying statistical analyzes and descriptions of how these analyzes are applied in health sciences research without

Introduction to Mathematical Statistics, Global Edition (Hogg Robert)(Paperback / softback)

Causal Inference in Statistics: A Primer (Pearl Judea)(Paperback)

CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause-effect relationships, we cannot use data to answer questions as basic as 'Does this treatment harm or help patients?' But though hundreds of introductory texts are

Statistics Without Mathematics (Bartholomew David J.)(Paperback)

This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language. It introduces the intuitive thinking behind standard procedures, explores the

How to Make Sense of Statistics (Gorard Stephen)(Paperback)

In a new textbook designed for students new to statistics and social data, Stephen Gorard focuses on non-inferential statistics as a basis to ensure students have basic statistical literacy. Understanding why we have to learn statistics and seeing the links between the numbers and real life is a

MEI A Level Further Mathematics Statistics 4th Edition (Feu John Du)(Paperback / softback)

Help students to develop their knowledge and apply their reasoning to mathematical problems with textbooks that draw on the well-known MEI (Mathematics in Education and Industry) series, updated and tailored to the 2017 OCR (MEI) specification and developed by subject experts and

Statistics for Terrified Biologists (Van Emden Helmut F.)(Paperback)

Makes mathematical and statistical analysis understandable to even the least math-minded biology student This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists, 2nd Edition draws on the

Quantitative Social Science: An Introduction in Stata (Imai Kosuke)(Paperback)

The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in

SPSS Statistics for Dummies (McCormick Keith)(Paperback)

The fun and friendly guide to mastering IBM's Statistical Package for the Social Sciences Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis

An Introduction to Mathematical Statistics (Bijma Fetsje)(Paperback)

Statistics is the science that focuses on drawing conclusions from data, by modeling and analyzing the data using probabilistic models. In 'An Introduction to Mathematical Statistics' the authors describe key concepts from statistics and give a mathematical basis for important statistical methods

Introduction to Mathematical Statistics and Its Applications: Pearson New International Edition (Larsen Richard)(Paperback / softback)

A Primer in Econometric Theory (Stachurski John)(Pevná vazba)

A concise treatment of modern econometrics and statistics, including underlying ideas from linear algebra, probability theory, and computer programming.This book offers a cogent and concise treatment of econometric theory and methods along with the underlying ideas from statistics, probability

Loneliness: Human Nature and the Need for Social Connection (Cacioppo John T.)(Paperback)

University of Chicago social neuroscientist John T. Cacioppo pioneered research on the startling effects of loneliness: a sense of isolation or social rejection disrupts not only our ability to think and will power but also our immune systems, and can be as damaging as obesity or smoking. On the

Quantitative Social Science: An Introduction (Imai Kosuke)(Paperback)

An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little

Mathematical Statistics with Applications, International Edition (Mendenhall William III (University of Florida 1925-2009))(Paperback / softback)

The New-England Primer (1777) (Cotton John)(Paperback)

An Unabridged Printing of the 1777 Edition of the New-England Primer with Updated Typeface for Easier Reading (and some original pages from the 1875 edition with Illustrations), To Include: Introduction (by Joel Munsell) - A Divine Song of Praise to GOD - Morning Prayer for a Child - Evening Prayer

Statistics Essentials for Dummies (Rumsey Deborah J.)(Paperback)

Statistics Essentials For Dummies (9781119590309) was previously published as Statistics Essentials For Dummies (9780470618394). 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. Statistics

Thinking Through Methods: A Social Science Primer (Martin John Levi)(Paperback)

Sociological research is hard enough already--you don't need to make it even harder by smashing about like a bull in a china shop, not knowing what you're doing or where you're heading. Or so says John Levi Martin in this witty, insightful, and desperately needed primer on how to practice rigorous

A Mathematics Course for Political and Social Research (Moore Will H.)(Paperback)

Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a math camp or a semester-long or yearlong course to acquire the necessary skills. Available textbooks are written for