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Essentials of Statistics raises the bar with every edition by incorporating an unprecedented amount of real and interesting data that will help instructors connect with students today, and help them connect statistics to their daily lives. The 5th Edition contains more than 1,585 exercises, 89% of which use real data and 86% of which are new. Hundreds of examples are included, 92% of which use real data and 85% of which are new.  The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Essentials of Statistics, Global Edition

• Title


• Copyright


• Contents


• 1 Introduction to Statistics


• 1-1 Review and Preview


• 1-2 Statistical and Critical Thinking


• 1-3 Types of Data


• 1-4 Collecting Sample Data


• 2 Summarizing and Graphing Data


• 2-1 Review and Preview


• 2-2 Frequency Distributions


• 2-3 Histograms


• 2-4 Graphs That Enlighten and Graphs That Deceive


• 3 Statistics for Describing, Exploring, and Comparing Data


• 3-1 Review and Preview


• 3-2 Measures of Center


• 3-3 Measures of Variation


• 3-4 Measures of Relative Standing and Boxplots


• 4 Probability


• 4-1 Review and Preview


• 4-2 Basic Concepts of Probability


• 4-3 Addition Rule


• 4-4 Multiplication Rule: Basics


• 4-5 Multiplication Rule: Complements and Conditional Probability


• 4-6 Counting


• 4-7 Probabilities through Simulations (on companion Web site)


• 4-8 Bayes? Theorem (on companion Web site)


• 5 Discrete Probability Distributions


• 5-1 Review and Preview


• 5-2 Probability Distributions


• 5-3 Binomial Probability Distributions


• 5-4 Parameters for Binomial Distributions


• 6 Normal Probability Distributions


• 6-1 Review and Preview


• 6-2 The Standard Normal Distribution


• 6-3 Applications of Normal Distributions


• 6-4 Sampling Distributions and Estimators


• 6-5 The Central Limit Theorem


• 6-6 Assessing Normality


• 6-7 Normal as Approximation to Binomial


• 7 Estimates and Sample Sizes


• 7-1 Review and Preview


• 7-2 Estimating a Population Proportion


• 7-3 Estimating a Population Mean


• 7-4 Estimating a Population Standard Deviation or Variance


• 8 Hypothesis Testing