Research Analyst

The subject matter of the book deals with logic, sets, functions and relations, the essential building blocks for higher mathematics. Numerous problems and exercises are chosen and interspersed inside the sections so that the student participates actively in the discussions.Using this book in their studies will lay the foundations which will enable readers to undertake courses in higher mathematics with confidence and due rigour.

"Where are we ever going to use this?" Every high school math student has asked this question. Often teachers themselves aren't sure how to respond. One answer is that higher mathematics learned in high school will be essential to learning yet more at the college level. A more satisfactory answer calls for an awareness of how math is applied in many specific areas.

In An Introduction to Mathematical Statistics the authors describe key concepts from statistics and give a mathematical basis for important statistical methods. Much attention is paid to the sound application of those methods to data. The three main topics in statistics are estimators, tests, and confidence regions. The authors illustrate these in many examples, with a separate chapter on regression models, including linear regression and analysis of variance. They also discuss the optimality of estimators and tests, as well as the selection of the best-fitting model. Each chapter ends with a case study in which the described statistical methods are applied.

This book won't turn you into a statistician--that would require a much longer and more technical discussion--but it will give you the tools to understand statistical claims and avoid common pitfalls associated with translating statistical information from the language of mathematics to plain English.

A fun introduction to the fundamental principles of statistics, presenting the essential concepts in thirty-four brief, enjoyable stories. Content: Data distributions; Variation of study results: confidence intervals; Hypothesis testing; Regression and decision making.

The complete guide to Excel 2016, from Mr. Spreadsheet himself Whether you are just starting out or an Excel novice, this is your comprehensive, go-to guide for all your Excel 2016 needs.

This book presents the essential statistical procedures for drawing valuable results from data in the social sciences. It identifies valuable connections between statistical applications and research design. Clear, step-by-step explanations and the use of software packages to present the fundamental statistical practices for organizing, understanding, and drawing conclusions.

You have just been promoted into a job that requires more Excel skills than ever. You are floundering, drowning in a sea of spreadsheets. This book walks you through in an easy accessible way--vlookups, pivot tables, Power Query, and Power Pivot. The Excel Survival Kit is small enough to slip into your purse.

This book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods.

This book provides just the information needed: installing the software, entering data, setting up calculations, and analyzing data Covers computing cross tabulation, frequencies, descriptive ratios, means, bivariate and partial correlations, linear regression, and much more Explains how to output information into striking charts and graphs For ambitious users, also covers how to program SPSS to take their statistical analysis to the next level