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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 |
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 |
Sicherheitshinweis