Introductory Statistics
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Introductory Statistics: Exploring the World through Data Plus NEW MyStatLab with Pearson eText -- Access Card Package

Introductory Statistics: Exploring the World through Data Plus NEW MyStatLab with Pearson eText -- Access Card Package


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About the Book

ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products.   Packages Access codes for Pearson's MyLab & Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase.   Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code.   Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase.   -- We live in a data-driven world, and this is a book about understanding and working with that data. In order to be informed citizens, authors Rob Gould and Colleen Ryan believe that learning statistics extends beyond the classroom to an essential life skill.  They teach students of all math backgrounds how to think about data, how to reason using data, and how to make decisions based on data.   With a clear, unintimidating writing style and carefully chosen pedagogy, Introductory Statistics: Exploring the World through Data makes data analysis accessible to all students.  Guided Exercises support students by building their confidence as they learn to solve problems.  Snapshots summarize statistical procedures and concepts for convenient studying. While this text assumes the use of statistical software, formulas are presented as an aid to understanding the concepts rather than the focus of study. Check Your Tech features demonstrate how students will get the same numerical value by-hand as when using statistical software.

Table of Contents:
1. Introduction to Data Case Study: Deadly Cell Phones? 1.1 What Are Data? 1.2 Classifying and Storing Data 1.3 Organizing Categorical Data 1.4 Collecting Data to Understand Causality Exploring Statistics: Collecting a Table of Different Kinds of Data   2. Picturing Variation with Graphs Case Study: Student-to-Teacher Ratio at Private and Public Colleges 2.1 Visualizing Variation in Numerical Data 2.2 Summarizing Important Features of a Numerical Distribution 2.3 Visualizing Variation in Categorical Variables 2.4 Summarizing Categorical Distributions 2.5 Interpreting Graphs Exploring Statistics: Personal Distance   3. Numerical Summaries of Center and Variation Case Study: Living in a Risky World 3.1 Summaries for Symmetric Distributions 3.2 What's Unusual? The Empirical Rule and z-Scores 3.3 Summaries for Skewed Distributions 3.4 Comparing Measures of Center 3.5 Using Boxplots for Displaying Summaries Exploring Statistics: Does Reaction Distance Depend on Gender?   4. Regression Analysis: Exploring Associations between Variables Case Study: Catching Meter Thieves 4.1 Visualizing Variability with a Scatterplot 4.2 Measuring Strength of Association with Correlation 4.3 Modeling Linear Trends 4.4 Evaluating the Linear Model Exploring Statistics: Guessing the Age of Famous People   5. Modeling Variation with Probability Case Study: SIDS or Murder? 5.1 What is Randomness? 5.2 Finding Theoretical Probabilities 5.3 Associations in Categorical Variables 5.4 Finding Empirical Probabilities with Simulations Exploring Statistics: "Let's Make a Deal": Stay or Switch?   6. Modeling Random Events: The Normal and Binomial Models Case Study: You Sometimes Get More Than You Pay For 6.1 Probability Distributions Are Models of Random Experiments 6.2 The Normal Model 6.3 The Binomial Model Exploring Statistics: ESP with Coin Flipping   7. Survey Sampling and Inference Case Study: Spring Break Fever: Just What the Doctors Ordered? 7.1 Learning about the World through Surveys 7.2 Measuring the Quality of a Survey 7.3 The Central Limit Theorem for Sample Proportions 7.4 Estimating the Population Proportion with Confidence Intervals 7.5 Margin of Error and Sample Size for Proportions (Optional) Exploring Statistics: Simple Random Sampling Prevents Bias   8. Hypothesis Testing for Population Proportions Case Study: Does Watching Violent TV as a Child Lead to Violent Behavior as an Adult? 8.1 The Main Ingredients of Hypothesis Testing 8.2 Characterizing p-values 8.3 Hypothesis Testing in Four Steps 8.4 Comparing Proportions from Two Populations 8.5 Understanding Hypothesis Testing Exploring Statistics: Identifying Flavors of Gum through Smell   9. Inferring Population Means Case Study: Epilepsy Drugs and Children 9.1 Sample Means of Random Samples 9.2 The Central Limit Theorem for Sample Means 9.3 Answering Questions about the Mean of a Population 9.4 Comparing Two Population Means 9.5 Overview of Analyzing Means Exploring Statistics: Pulse Rates   10. Associations between Categorical Variables Case Study: Popping Better Popcorn 10.1 The Basic Ingredients for Testing with Categorical Variables 10.2 The Chi-Square Test for Goodness of Fit 10.3 Chi-Square Tests for Associations between Categorical Variables 10.4 Hypothesis Tests When Sample Sizes Are Small Exploring Statistics: Skittles   11. Multiple Comparisons and Analysis of Variance Case Study: Seeing Red 11.1 Multiple Comparisons 11.2 The Analysis of Variance 11.3 The ANOVA Test 11.4 Post-Hoc Procedures Exploring Statistics: Recovery Heart Rate   12. Experimental Design: Controlling Variation Case Study: Does Stretching Improve Athletic Performance? 12.1 Variation Out of Control 12.2 Controlling Variation in Surveys 12.3 Reading Research Papers Exploring Statistics: Reporting on Research Activities   13. Inference without Normality Case Study: Electric Rays 13.1 Transforming Data 13.2 The Sign Test for Paired Data 13.3 Mann-Whitney Test for Two Independent Groups 13.4 Randomization Tests Exploring Statistics: Balancing on One Foot   14. Inference for Regression Case Study: Building a Better Oyster Shucker 14.1 The Linear Regression Model 14.2 Using the Linear Model 14.3 Predicting Values and Estimating Means Exploring Statistics: Older and Slower?

About the Author :
Robert L. Gould (Ph.D., University of California, San Diego) is a leader in the statistics education community. He has served as chair of the American Statistical Association’s Committee on Teacher Enhancement, has served as chair of the ASA’s Statistics Education Section, and was a co-author of the Guidelines for Assessment in Instruction on Statistics Education (GAISE) College Report. As the associate director of professional development for CAUSE (Consortium for the Advancement of Undergraduate Statistics Education), he has worked closely with the American Mathematical Association of Two-Year Colleges (AMATYC) to provide traveling workshops and summer institutes in statistics (he also presented an AMATYC summer institute in 2009). For over ten years, he has served as Vice-Chair of Undergraduate Studies at the UCLA Department of Statistics, and he is Director of the UCLA Center for the Teaching of Statistics. In 2009, Rob was elected president of the Southern California Chapter of the American Statistical Association.   Colleen N. Ryan has taught statistics, chemistry, and physics to diverse community college students for decades. She taught at Oxnard College from 1975 to 2006, where she earned the Teacher of the Year Award. Colleen currently teaches statistics part-time at California Lutheran University. She often designs her own lab activities. Her passion is to discover new ways to make statistical theory practical, easy to understand, and sometimes even fun. Colleen earned a B.A. in physics from Wellesley College, an M.A.T. in physics from Harvard University, and an M.A. in chemistry from Wellesley College. Her first exposure to statistics was with Frederick Mosteller at Harvard. In her spare time, she sings with the Oaks Chamber Singers, has been an avid skier in the past, and enjoys time with her family.    


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Product Details
  • ISBN-13: 9780321891938
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Language: English
  • Weight: 1678 gr
  • ISBN-10: 0321891937
  • Publisher Date: 04 Mar 2013
  • Binding: SA
  • Sub Title: Exploring the World through Data Plus NEW MyStatLab with Pearson eText -- Access Card Package


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