Quantitative Comparisons & Data Interpretation GRE Strategy Guide

Manhattan Prep’s 4th Edition GRE Strategy Guides have been redesigned with the student in mind. With updated content and new practice problems, they are the richest, most content-driven GRE materials

Developed by Manhattan Prep’s high-caliber GRE instructors, the 3rd edition GRE strategy guides have been updated to provide students with in-depth instruction in the test’s principal content areas.Wr

This Guide is really two books in one, thoroughly covering two of the quantitative question types on the GRE.The Guide to Quantitative Comparisons provides students a framework for understanding what

Updated for the revised GRE, this guide is really two books in one, thoroughly covering two of the quantitative question types on the GRE. The Guide to Quantitative Comparisons provides students a fr

This Element explores interdisciplinarity in academic writing. It describes the ways in which disciplines interact when forming interdisciplinary fields and how language reflects (and is reflected by) these interactions. Specifically, bibliographical citations are investigated in corpora of research articles from three interdisciplines: Educational Neuroscience, Economic History, and Science and Technology Studies, as well as the single-domain disciplines from which they are derived. Comparisons are carried out between the interdisciplinary fields and between those fields and their related single-domain disciplines. The study combines analysis of quantitative data and qualitative interpretation by means of close reading. It concludes that bibliographical citations constitute a viable tool to explore interdisciplinary writing in the fields explored. The Element demonstrates that it is possible to describe epistemologically distinct types of interdisciplinarity by means of linguistic evi

Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be a valuable guide. Over a hundred illustrations from a wide variety of real applications make the conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of statistical methods in their work.

Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be a valuable guide. Over a hundred illustrations from a wide variety of real applications make the conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of statistical methods in their work.