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Jun 20, 2024 · If you’re looking for a single concise reference to statistics, then the Statistics Cheat Sheet from MIT is for you. This covers basic to intermediate statistics concepts starting from the ground up—from the definition such as population and sample.
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As newer technologies allow people to process and analyze ever-increasing amounts of data, statistics plays an increasingly important part of many deci-sion-making processes today. Reading this chapter will help you understand the fundamentals of statistics and introduce you to concepts that are used throughout this book.
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We begin by introducing two general types of statistics: •• Descriptive statistics: statistics that summarize observations. •• Inferential statistics: statistics used to interpret the meaning of descriptive statistics. This book describes how to apply and interpret both types of statistics in sci-
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An event is the speci cation of the outcome of a trial. An event can consist of a single outcome or a set of outcomes. The complement of an event is everything in the sample space that is not that event (not E or E). The probability of an event is always between 0 and 1.
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Basic Statistics Definitions: Statistics – Practice or science of collecting and analyzing numerical data. Data – Values collected by direct or indirect observation. Population – Complete set of all observations in existence. Sample – Slice of population meant to represent, as accurately as possible, that population.
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• read and understand material employing simple statistics; and • use simple statistical measures and techniques to describe and analyze data. To accomplish this, the chapter will focus on descriptive statistics, that is, the process of describing and summarizing data.
STATISTICS 243 FORMULAS 8 Source: Rachel L. Webb, PSU, January 2018 Learning Center 1875 SW Park Avenue, Millar Library, Portland, OR 97201 503.725.4448 www.pdx.edu ...
