Ron Larson, Betsy Farber

Elementary Statistics: Picturing the World, Global Edition

• Broschiertes Buch

Produktbeschreibung

For courses in Introductory Statistics (algebra-based).

Describing the world through statistics

Elementary Statistics: Picturing the World makes statistics approachable with stepped-out instruction, extensive real-life examples and exercises, and a design that fits content to each page to make the material more digestible. The text's combination of theory, pedagogy, and design helps students understand concepts and use statistics to describe and think about the world. The 7th Edition incorporates a thorough update of key features, examples, and exercises.

MyLab(TM) Statistics is not included. Students, if MyLab Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

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Produktdetails

• Verlag: Pearson
• 7. Aufl.
• Seitenzahl: 712
• Erscheinungstermin: 30. Januar 2019
• Englisch
• Abmessung: 277mm x 217mm x 25mm
• Gewicht: 1401g
• ISBN-13: 9781292260464
• ISBN-10: 1292260467
• Artikelnr.: 57780639

Inhaltsangabe

* 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