David Borman

Hardcover (1 to 2 lbs)

From Data Analysis and Predictive Modeling to Measuring Distribution and Determining Probability, Your Essential Guide to Statistics

A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you’ll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun. Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered.

Statistics 101

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Thomas Sanocki

Paperback (1 to 2 lbs)

Math

This accessible introduction presents statistics in a simple, yet meaningful manner using concrete examples of what researchers do with statistics. Employing an interactive, active-learning presentation, this text effectively teaches advanced statistics with a straightforward approach that helps readers who are not strong in mathematics understand the concepts. Text addresses statistical concepts including influences on behavior, populations, sample means, addressing researcher's questions, n dimensions, variables and analyzing categorical data, as well as providing techniques for coping with math and test anxiety. For non-mathematically focused individuals looking to understand basic and advanced statistical concepts.

Student Friendly Statistics

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David Borman

Statistics 101

Thomas Sanocki

Student Friendly Statistics