This First Edition of Statistics moves the curriculum in innovative ways while still looking relatively familiar. Statistics utilizes intuitive methods to introduce the fundamental idea of statistical inference. These intuitive methods are enabled through statistical software and are accessible at very early stages of a course. The text also includes the more traditional methods such as t-tests, chi-square tests, etc., but only after students have developed a strong intuitive understanding of inference through randomization methods. The text is designed for use in a one-semester introductory statistics course. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The text is driven by real data and real applications. Although the only prerequisite is a minimal working knowledge of algebra, students completing the course should be able to accurately interpret statistical results and to analyze straightforward data sets.

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Data are everywhere—in vast quantities, spanning almost every topic. Being able to make sense of all this information is becoming both a coveted and necessary skill. This book will help you learn how to effectively collect and analyze data, enabling you to investigate any questions you wish to ask. The goal of this book is to help you unlock the power of data!

An essential component of statistics is randomness. Rather than viewing randomness as a confused jumble of numbers (as the random number table on the front cover might appear), you will learn how to use randomness to your advantage, and come to view it as one of the most powerful tools available for making new discoveries and bringing clarity to the world.

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