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- PART 1: GETTING THE INFORMATION YOU NEED
- 1. Data Collection
- 1.1 Introduction to the Practice of Statistics
- 1.2 Observational Studies versus Designed Experiments
- 1.3 Simple Random Sampling
- 1.4 Other Effective Sampling Methods
- 1.5 Bias in Sampling
- 1.6 The Design of Experiments
- PART 2: DESCRIPTIVE STATISTICS
- 2. Organizing and Summarizing Data
- 2.1 Organizing Qualitative Data
- 2.2 Organizing Quantitative Data: The Popular Displays
- 2.3 Additional Displays of Quantitative Data
- 2.4 Graphical Misrepresentations of Data
- 3. Numerically Summarizing Data
- 3.1 Measures of Central Tendency
- 3.2 Measures of Dispersion
- 3.3 Measures of Central Tendency and Dispersion from Grouped Data
- 3.4 Measures of Position and Outliers
- 3.5 The Five-Number Summary and Boxplots
- 4. Describing the Relation between Two Variables
- 4.1 Scatter Diagrams and Correlation
- 4.2 Least-Squares Regression
- 4.3 Diagnostics on the Least-Squares Regression Line
- 4.4 Contingency Tables and Association
- 4.5 Nonlinear Regression: Transformations (online) 4-1
- PART 3: PROBABILITY AND PROBABILITY DISTRIBUTIONS
- 5. Probability
- 5.1 Probability Rules
- 5.2 The Addition Rule and Complements
- 5.3 Independence and the Multiplication Rule
- 5.4 Conditional Probability and the General Multiplication Rule
- 5.5 Counting Techniques
- 5.6 Putting It Together: Which Method Do I Use?
- 5.7 Bayes’s Rule (online) 5-1
- 6. Discrete Probability Distributions
- 6.1 Discrete Random Variables
- 6.2 The Binomial Probability Distribution
- 6.3 The Poisson Probability Distribution
- 6.4 The Hypergeometric Probability Distribution (online) 6-1
- 7. The Normal Probability Distribution
- 7.1 Properties of the Normal Distribution
- 7.2 Applications of the Normal Distribution
- 7.3 Assessing Normality
- 7.4 The Normal Approximation to the Binomial Probability Distribution
- PART 4: INFERENCE: FROM SAMPLES TO POPULATION
- 8. Sampling Distributions
- 8.1 Distribution of the Sample Mean
- 8.2 Distribution of the Sample Proportion
- 9. Estimating the Value of a Parameter
- 9.1 Estimating a Population Proportion
- 9.2 Estimating a Population Mean
- 9.3 Estimating a Population Standard Deviation
- 9.4 Putting It Together: Which Procedure Do I Use?
- 9.5 Estimating with Bootstrapping
- 10. Hypothesis Tests Regarding a Parameter
- 10.1 The Language of Hypothesis Testing
- 10.2 Hypothesis Tests for a Population Proportion
- 10.3 Hypothesis Tests for a Population Mean
- 10.4 Hypothesis Tests for a Population Standard Deviation
- 10.5 Putting It Together: Which Method Do I Use?
- 10.6 The Probability of a Type II Error and the Power of the Test
- 11. Inferences on Two Samples
- 11.1 Inference about Two Population Proportions
- 11.2 Inference about Two Means: Dependent Samples
- 11.3 Inference about Two Means: Independent Samples
- 11.4 Inference about Two Population Standard Deviations
- 11.5 Putting It Together: Which Method Do I Use?
- 12. Inference on Categorical Data
- PART 1: GETTING THE INFORMATION YOU NEED
- 1. Data Collection
- 1.1 Introduction to the Practice of Statistics
- 1.2 Observational Studies versus Designed Experiments
- 1.3 Simple Random Sampling
- 1.4 Other Effective Sampling Methods
- 1.5 Bias in Sampling
- 1.6 The Design of Experiments
- PART 2: DESCRIPTIVE STATISTICS
- 2. Organizing and Summarizing Data
- 2.1 Organizing Qualitative Data
- 2.2 Organizing Quantitative Data: The Popular Displays
- 2.3 Additional Displays of Quantitative Data
- 2.4 Graphical Misrepresentations of Data
- 3. Numerically Summarizing Data
- 3.1 Measures of Central Tendency
- 3.2 Measures of Dispersion
- 3.3 Measures of Central Tendency and Dispersion from Grouped Data
- 3.4 Measures of Position and Outliers
- 3.5 The Five-Number Summary and Boxplots
- 4. Describing the Relation between Two Variables
- 4.1 Scatter Diagrams and Correlation
- 4.2 Least-Squares Regression
- 4.3 Diagnostics on the Least-Squares Regression Line
- 4.4 Contingency Tables and Association
- 4.5 Nonlinear Regression: Transformations (online) 4-1
- PART 3: PROBABILITY AND PROBABILITY DISTRIBUTIONS
- 5. Probability
- 5.1 Probability Rules
- 5.2 The Addition Rule and Complements
- 5.3 Independence and the Multiplication Rule
- 5.4 Conditional Probability and the General Multiplication Rule
- 5.5 Counting Techniques
- 5.6 Putting It Together: Which Method Do I Use?
- 5.7 Bayes’s Rule (online) 5-1
- 6. Discrete Probability Distributions
- 6.1 Discrete Random Variables
- 6.2 The Binomial Probability Distribution
- 6.3 The Poisson Probability Distribution
- 6.4 The Hypergeometric Probability Distribution (online) 6-1
- 7. The Normal Probability Distribution
- 7.1 Properties of the Normal Distribution
- 7.2 Applications of the Normal Distribution
- 7.3 Assessing Normality
- 7.4 The Normal Approximation to the Binomial Probability Distribution
- PART 4: INFERENCE: FROM SAMPLES TO POPULATION
- 8. Sampling Distributions
- 8.1 Distribution of the Sample Mean
- 8.2 Distribution of the Sample Proportion
- 9. Estimating the Value of a Parameter
- 9.1 Estimating a Population Proportion
- 9.2 Estimating a Population Mean
- 9.3 Estimating a Population Standard Deviation
- 9.4 Putting It Together: Which Procedure Do I Use?
- 9.5 Estimating with Bootstrapping
- 10. Hypothesis Tests Regarding a Parameter
- 10.1 The Language of Hypothesis Testing
- 10.2 Hypothesis Tests for a Population Proportion
- 10.3 Hypothesis Tests for a Population Mean
- 10.4 Hypothesis Tests for a Population Standard Deviation
- 10.5 Putting It Together: Which Method Do I Use?
- 10.6 The Probability of a Type II Error and the Power of the Test
- 11. Inferences on Two Samples
- 11.1 Inference about Two Population Proportions
- 11.2 Inference about Two Means: Dependent Samples
- 11.3 Inference about Two Means: Independent Samples
- 11.4 Inference about Two Population Standard Deviations
- 11.5 Putting It Together: Which Method Do I Use?
- 12. Inference on Categorical Data
| Erscheinungsjahr: | 2017 |
|---|---|
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781292157115 |
| ISBN-10: | 1292157119 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Sullivan, Michael |
| Auflage: | 5 ed |
| Hersteller: | Pearson Education Limited |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 217 x 276 x 41 mm |
| Von/Mit: | Michael Sullivan |
| Erscheinungsdatum: | 04.07.2017 |
| Gewicht: | 2,126 kg |
| Erscheinungsjahr: | 2017 |
|---|---|
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781292157115 |
| ISBN-10: | 1292157119 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Sullivan, Michael |
| Auflage: | 5 ed |
| Hersteller: | Pearson Education Limited |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 217 x 276 x 41 mm |
| Von/Mit: | Michael Sullivan |
| Erscheinungsdatum: | 04.07.2017 |
| Gewicht: | 2,126 kg |
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