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Elementary Statistics: Picturing the World, Books a la Carte Edition de Ron Larson

Elementary Statistics: Picturing the World, Books a la Carte Edition

Autor Ron Larson, Betsy Farber
en Limba Engleză Foi volante – 23 ian 2014
This edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version. Books a la Carte also offer a great value this format costs significantly less than a new textbook. 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.
Statistics opens a window to the modern world, and this market-leading text makes it easy to understand Larson and Farber s "Elementary Statistics: Picturing the World," Sixth Edition, provides stepped out instruction, real-life examples and exercises, and the use of technology to offer the most accessible approach. The authors carefully develop theory through strong pedagogy, and examples show how statistics is used to picture and describe the world. In keeping with the premise that students learn best by doing, it includes more than 210 examples and more than 2300 exercises, to make the concepts of statistics a part of students everyday lives.
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0321901118/9780321901118 - Elementary Statistics: Picturing the World, Books a la Carte Edition, 6/e
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Specificații

ISBN-13: 9780321901118
ISBN-10: 0321901118
Pagini: 704
Greutate: 1.27 kg
Ediția:6
Editura: Pearson

Cuprins

  • I. DESCRIPTIVE STATISTICS
  • 1. Introduction to Statistics
  • 1.1 An Overview of Statistics
  • 1.2 Data Classification
  • 1.3 Data Collection and Experimental Design
  • 2. Descriptive Statistics
  • 2.1 Frequency Distributions and Their Graphs
  • 2.2 More Graphs and Displays
  • 2.3 Measures of Central Tendency
  • 2.4 Measures of Variation
  • 2.5 Measures of Position
  • II. PROBABILITY AND PROBABILITY DISTRIBUTIONS
  • 3. Probability
  • 3.1 Basic Concepts of Probability and Counting
  • 3.2 Conditional Probability and the Multiplication Rule
  • 3.3 The Addition Rule
  • 3.4 Additional Topics in Probability and Counting
  • 4. Discrete Probability Distributions
  • 4.1 Probability Distributions
  • 4.2 Binomial Distributions
  • 4.3 More Discrete Probability Distributions
  • 5. Normal Probability Distributions
  • 5.1 Introduction to Normal Distributions and the Standard Normal Distribution
  • 5.2 Normal Distributions: Finding Probabilities
  • 5.3 Normal Distributions: Finding Values
  • 5.4 Sampling Distributions and the Central Limit Theorem
  • 5.5 Normal Approximations to Binomial Distributions
  • III. STATISTICAL INFERENCE
  • 6. Confidence Intervals
  • 6.1 Confidence Intervals for the Mean (S Known)
  • 6.2 Confidence Intervals for the Mean (S Unknown)
  • 6.3 Confidence Intervals for Population Proportions
  • 6.4 Confidence Intervals for Variance and Standard Deviation
  • 7. Hypothesis Testing with One Sample
  • 7.1 Introduction to Hypothesis Testing
  • 7.2 Hypothesis Testing for the Mean (S Known)
  • 7.3 Hypothesis Testing for the Mean (S Unknown)
  • 7.4 Hypothesis Testing for Proportions
  • 7.5 Hypothesis Testing for Variance and Standard Deviation
  • 8. Hypothesis Testing with Two Samples
  • 8.1 Testing the Difference Between Means (Independent Samples, S1 and S2 Known)
  • 8.2 Testing the Difference Between Means (Independent Samples, S1 and S2 Unknown)
  • 8.3 Testing the Difference Between Means (Dependent Samples)
  • 8.4 Testing the Difference Between Proportions
  • IV. MORE STATISTICAL INFERENCE
  • 9. Correlation and Regression
  • 9.1 Correlation
  • 9.2 Linear Regression
  • 9.3 Measures of Regression and Prediction Intervals
  • 9.4 Multiple Regression
  • 10. Chi-Square Tests and the F -Distribution
  • 10.1 Goodness-of-Fit Test
  • 10.2 Independence
  • 10.3 Comparing Two Variances
  • 10.4 Analysis of Variance
  • APPENDICES
  • Appendix A: Alternative Presentation of the Standard Normal Distribution
  • Appendix B: Tables