Elementary Statistics

Elementary Statistics : Picturing the World

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Description

For algebra-based Introductory Statistics courses.Written for student success, every aspect of Elementary Statistics: Picturing the World has been carefully crafted to help students learn statistics. The proven authorship and pedagogical expertise of Ron Larson combines with Betsy Farber's 30 years of statistics teaching experience, and results in an innovative, approachable text and state-of-the-art support package that appeal to today's visually oriented, technologically savvy students.
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Product details

  • Hardback | 704 pages
  • 218 x 266 x 28mm | 1,659.97g
  • Pearson Education (US)
  • Pearson
  • United States
  • English
  • 2nd edition
  • 0130655953
  • 9780130655950

Table of contents

(NOTE: Each chapter begins with Where You've Been and Where You're Going, and includes an arrangement of some of the following: Chapter Case Study; Chapter Technology Project; Chapter Summary; Chapter Review Exercises; Chapter Quizzes; and Cumulative Tests.)1. Introduction to Statistics. An Overview of Statistics. Data Classification. Experimental Design.2. Descriptive Statistics. Frequency Distributions and Their Graphs. More Graphs and Displays. Measures of Central Tendency. Measures of Variation. Measures of Position.3. Probability. Basic Concepts of Probability. Conditional Probability and the Multiplication Rule. The Addition Rule. Counting Principles.4. Discrete Probability Distributions. Probability Distributions. Binomial Distributions. More Discrete Probability Distributions.5. Normal Probability Distributions. Introduction to Normal Distributions. The Standard Normal Distribution. Normal Distributions: Finding Probabilities. Normal Distribution: Finding Values. Normal Approximations to Binomial Distributions.6. Confidence Intervals. Confidence Intervals for the Mean (Large Samples). Confidence Intervals for the Mean (Small Samples). Confidence Intervals for Population Proportions. Confidence Intervals for Variance and Standard Deviation.7. Hypothesis Testing with One Sample. Introduction to Hypothesis Testing. Hypothesis Testing for the Mean (Large Samples). Hypothesis Testing for the Mean (Small Samples). Hypothesis Testing for Proportions. Hypothesis Testing for the Variance and Standard Deviation.8. Hypothesis Testing with Two-Samples. Testing the Difference Between Means (Large Independent Samples). Testing the Difference Between Means (Small Independent Samples). Testing the Difference Between Means (Dependent Samples). Testing the Difference Between Proportions.9. Correlation and Regression. Correlation. Linear Regression. Measures of Regression and Prediction Intervals. Multiple Regression.10. Chi-Square Tests and the F-Distribution. Goodness of Fit. Independence. Comparing Two Variances. Analysis of Variance.11. Nonparametric Tests. The Sign Test. The Wilcoxon Tests. The Kruskal-Wallis Test. Rank Correlation.
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About Ron Larson

Ron Larson received his Ph.D. in mathematics from the University of Colorado in 1970. At that time he accepted a position with Penn State University, and he currently holds the rank of professor of mathematics at the university. Larson is the lead author of more than two dozen mathematics textbooks that range from sixth grade through calculus levels. Many of his texts, such as the seventh edition of his calculus text, are leaders in their markets. Larson is also one of the pioneers in the use of multimedia and the Internet to enhance the learning of mathematics. He has authored multimedia programs, extending from the elementary school through calculus levels. Larson is a member of several professional groups and is a frequent speaker at national and regional mathematics meetings. Betsy Farber received her Bachelor's degree in mathematics from Penn State University and Master's degree in mathematics from the College of New Jersey. Since 1976, she has been teaching all levels of mathematics at Bucks County Community College in Newtown, Pennsylvania, where she currently holds the rank of professor. She is particularly interested in developing new ways to make statistics relevant and interesting to her students, and has been teaching statistics in many different modes-with TI-83, with MINITAB, and by distance learning as well as in the traditional classroom. A member of the American Mathematical Association of Two-Year Colleges (AMATYC), she is an author of The Student Edition to MINITAB and A Guide to MINITAB. She served as consulting editor for Statistics, A First Course and has written computer tutorials for the CD-ROM correlating to the texts in the Streeter Series in mathematics.
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