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Elementary Statistics: Picturing the World, Global Edition
Taschenbuch von Ron Larson (u. a.)
Sprache: Englisch

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Kategorien:
Beschreibung
  • 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
  • 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
Details
Erscheinungsjahr: 2019
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781292260464
ISBN-10: 1292260467
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Larson, Ron
Farber, Betsy
Auflage: 7. Auflage
Hersteller: Pearson
Verantwortliche Person für die EU: Pearson, St.-Martin-Str. 82, D-81541 München, salesde@pearson.com
Maße: 277 x 217 x 25 mm
Von/Mit: Ron Larson (u. a.)
Erscheinungsdatum: 30.01.2019
Gewicht: 1,385 kg
Artikel-ID: 117473020
Details
Erscheinungsjahr: 2019
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781292260464
ISBN-10: 1292260467
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Larson, Ron
Farber, Betsy
Auflage: 7. Auflage
Hersteller: Pearson
Verantwortliche Person für die EU: Pearson, St.-Martin-Str. 82, D-81541 München, salesde@pearson.com
Maße: 277 x 217 x 25 mm
Von/Mit: Ron Larson (u. a.)
Erscheinungsdatum: 30.01.2019
Gewicht: 1,385 kg
Artikel-ID: 117473020
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