Statistics 30

Nervous about statistics? This guide offers you a clear, straight to the point break down of exploratory and descriptive statistics and its potential. Anchored by lots of examples and exercises to e……続きを見る

An experienced author in the field of data analytics and statistics, John Macinnes has produced a straight-forward text that breaks down the complex topic of inferential statistics with accessible l……続きを見る

This text introduces the fundamental linear regression models used in quantitative research. It covers both the theory and application of these statistical models, and illustrates them with illumina……続きを見る

Using simple and direct language, this concise text provides practical guidance on a wide range of modeling methods and techniques for use with quantitative data. It covers: · 2-level Multilevel Mod……続きを見る

This text provides practical guidance on conducting regression analysis on categorical and count data. Step by step and supported by lots of helpful graphs, it covers both the theoretical underpinni……続きを見る

Regression Analysis in R: A Comprehensive View for the Social Sciences covers the basic applications of multiple linear regression all the way through to more complex regression applications and ext……続きを見る

Doing Statistical Analysis looks at three kinds of statistical research questions – descriptive, associational, and inferential – and shows students how to conduct statistical analyses and interpret……続きを見る

Why do weather forecasters get it wrong? What are the best tactics for playing "Who Wants to be a Millionaire?" and "The Weakest Link"? And what is the link between a tin of baked beans and a men's ……続きを見る

Cocoa is one of the best agricultural products in Africa, this tends us to make research on its processing products and how they are dependable on each other. We make use of some statistical tools l……続きを見る

The Misuse, Misrepresentation, and Politicization of Statistics in American Society critically examines the early measurement efforts of several government agencies responsible for some of the most ……続きを見る

Statistics for the Terrified offers a clear and concise introduction to statistics. Perfect as a brief core or supplementary text for undergraduate courses in statistics and research methods, this s……続きを見る

Essentials of Social Statistics for a Diverse Society is a briefer version of the successful Social Statistics for a Diverse Society, and as in the parent text, the use of real data about contempora……続きを見る

This practical text combines social research methods with coverage of statistical analysis to help students develop the applied research skills needed for future careers in public and private organi……続きを見る

Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire is designed to give students the experience of being a researcher by combining the interrelated concepts of res……続きを見る

Measurement connects theoretical concepts to what is observable in the empirical world, and is fundamental to all social and behavioral research. In this volume, J. Micah Roos and Shawn Bauldry intr……続きを見る

Multiple Regression: A Practical Introductionis a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Also, students preparing for mo……続きを見る

Written in an accessible and clear manner, Straightforward Statistics with Excel® 2e by Chieh-Chen Bowen helps students across the social and behavioral sciences gradually build their skills to deve……続きを見る

Would you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science App……続きを見る

Using Time Series to Analyze Long Range Fractal Patterns presents methods for describing and analyzing dependency and irregularity in long time series. Irregularity refers to cycles that are similar……続きを見る

Are you a researcher or instructor who has been wanting to learn R and RStudio®, but you don′t know where to begin? Do you want to be able to perform all the same functions you use in IBM® SPSS® in ……続きを見る

This volume helps readers understand the intuitive logic behind logistic regression through nontechnical language and simple examples. The Second Edition presents results from several statistical pa……続きを見る

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice o……続きを見る

This comprehensive text introduces regression, the general linear model, structural equation modeling, the hierarchical linear model, growth curve models, panel data, and event history models, and i……続きを見る

Correlation matrices (along with their unstandardized counterparts, covariance matrices) underlie the majority the statistical methods that researchers use today. A correlation matrix is more than a……続きを見る

Sequence analysis (SA) was developed to study social processes that unfold over time as sequences of events. It has gained increasing attention as the availability of longitudinal data made it possi……続きを見る

A Mathematical Primer for Social Statistics***, Second Edition*** presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" o……続きを見る

This Fifth Edition of Neil J. Salkind’s Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel, presents an often intimidating and difficult subject in a way that is clear, in……続きを見る

This updated and reorganized Third Edition of this textbook takes a workbook-style approach that encourages an active approach to learning statistics. Carefully placed reading questions throughout e……続きを見る

There is no other source that provides in one place the wide range and depth of insight found in Vital Statistics on American Politics (VSAP), published since 1988. VSAP provides historical and stat……続きを見る

Making Sense of Numbers teaches students the skills they need to be both consumers and producers of quantitative research: able to read about, collect, calculate, and communicate numeric information……続きを見る