Statistics: the art and science of learning from data
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| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Harlow
Pearson
[2023]
|
| Edition: | Fifth edition, global edition |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Authorized adaptation form the United States 5th edition |
| Physical Description: | 830, A-833-C-877 Seiten Illustrationen, Diagramme |
| ISBN: | 9781292444765 1292444762 |
Staff View
MARC
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Contents Preface 10 Gathering and Exploring Data Part one Chapter 1 Statistics: The Art and Science Using Data to Answer Statistical Questions 25 1.2 Sample Versus Population 1.3 Organizing Data, Statistical Software, and the New Field of Data Science 42 52 Chapter Exercises 53 and Numerical Summaries 2.1 Different Types of Data 2.2 Graphical Summaries of Data Linear Transformations and Standardizing 82 90 110 Recognizing and Avoiding Misuses of Graphical Summaries 117 Chapter Exercises 125 3.2 The Relationship Between Two Quantitative Variables 146 3.3 Linear Regression: Predicting the Outcome of a Variable 160 3.4 Cautions in Analyzing Associations Chapter Summary 194 Chapter Exercises 196 175 Chapter 4 Gathering Data Using Measures of Position to Describe Variability 122 The Association Between Two Categorical Variables 136 204 64 Measuring the Variability of Quantitative Data Chapter Summary 57 58 Measuring the Center of Quantitative Data 2.7 3.1 30 Chapter 2 Exploring Data With Graphs 2.5 Between Two Variables 24 of Learning From Data Chapter Summary Chapter 3 Exploring Relationships 98 4.1 Experimental and Observational Studies 4.2 Good and Poor Ways to Sample 4.3 Good and Poor Ways to Experiment 4.4 Other Ways to Conduct Experimental and Nonexperimental Studies 228 Chapter Summary 240 Chapter Exercises 241 213 Probability, Probability Distributions, and Sampling Distributions Chapter 5 Probability in Our Daily Lives 252 5.1 How Probability Quantifies Randomness 5.2 Finding Probabilities 4 261 253 5.3 Conditional Probability 5.4 Applying the Probability Rules Chapter
Summary 298 Chapter Exercises 300 205 275 284 223 134
Contents 5 Chapter 6 Random Variables and Chapter 7 Sampling Distributions Probability Distributions 6.1 6.2 6.3 307 354 7.1 Summarizing Possible Outcomes and Their Probabilities 308 How Sample Proportions Vary Around the Population Proportion 355 7.2 Probabilities for Bell-Shaped Distributions: The Normal Distribution 321 How Sample Means Vary Around the Population Mean 367 7.3 Using the Bootstrap to Find Sampling Distributions 380 Probabilities When Each Observation Has Two Possible Outcomes: The Binomial Distribution 334 Chapter Summary 345 Chapter Exercises 347 Chapter Summary 390 Chapter Exercises 392 Inferential Statistics Part Three Chapter 8 Statistical Inference: Confidence Intervals 400 8.1 Point and Interval Estimates of Population Parameters 401 8.2 Confidence Interval for a Population Proportion 8.3 Confidence Interval for a Population Mean 8.4 Bootstrap Confidence Intervals Chapter Summary 447 Chapter Exercises 449 409 426 439 9.4 Decisions and Types of Errors in Significance Tests 9.5 Limitations of Significance Tests 9.6 The Likelihood of a Type II Error and the Power of a Test 506 Chapter Summary 513 Chapter Exercises 515 498 Chapter 10 Comparing Two Groups 10.1 10.3 Significance Tests About Hypotheses 457 9.1 Steps for Performing a Significance Test 9.2 Significance Test About a Proportion 9.3 Significance Test About a Mean 568 10.5 Adjusting for the Effects of Other Variables 464 481 539 Comparing Two Groups With Bootstrap or Permutation Resampling 554 10.4 Analyzing Dependent Samples 458 522 Categorical Response: Comparing Two Proportions 524 10.2
Quantitative Response: Comparing Two Means Chapter 9 Statistical Inference: Chapter Summary 587 Chapter Exercises 590 581 Extended Statistical Methods and Models for Analyzing Categorical and Quantitative Variables Chapter 11 Categorical Data Analysis 11.1 602 Independence and Dependence (Association) 603 11.2 Testing Categorical Variables for Independence 11.3 Determining the Strength of the Association 11.4 Using Residuals to Reveal the Pattern of Association 608 622 Chapter Summary 643 Chapter Exercises 645 Chapter 12 Regression Analysis 12.1 The Linear Regression Model 12.2 Inference About Model Parameters and the Relationship 663 12.3 Describing the Strength of the Relationship 631 11.5 Fisher’s Exact and Permutation Tests 635 493 652 653 670
6 Contents 12.4 How the Data Vary Around the Regression Line 681 12.5 Exponential Regression: A Model for Nonlinearity Chapter Summary 698 Chapter Exercises 701 Chapter 13 Multiple Regression 13.1 707 Using Several Variables to Predict a Response 708 13.2 Extending the Correlation Coefficient and R2 for Multiple Regression 714 13.3 Inferences Using Multiple Regression 737 13.6 Modeling a Categorical Response: Logistic Regression 743 Chapter Summary 752 Chapter Exercises 754 Appendix Answers Index A-833 A-839 1-865 Index of Applications Credits C-877 1-872 of Variance Methods 14.1 One-Way ANOVA: Comparing Several Means 14.2 Estimating Differences in Groups for a Single Factor 772 760 761 14.3 Two-Way ANOVA: Exploring Two Factors and Their Interaction 781 Chapter Summary 795 Chapter Exercises 797 720 13.4 Checking a Regression Model Using Residual Plots 731 13.5 Regression and Categorical Predictors Chapter 14 Comparing Groups: Analysis 693 Chapter 15 Nonparametric Statistics 15.1 Compare Two Groups by Ranking 15.2 Nonparametric Methods for Several Groups and for Dependent Samples 816 Chapter Summary 827 Chapter Exercises 829 805 804 |
| adam_txt |
Contents Preface 10 Gathering and Exploring Data Part one Chapter 1 Statistics: The Art and Science Using Data to Answer Statistical Questions 25 1.2 Sample Versus Population 1.3 Organizing Data, Statistical Software, and the New Field of Data Science 42 52 Chapter Exercises 53 and Numerical Summaries 2.1 Different Types of Data 2.2 Graphical Summaries of Data Linear Transformations and Standardizing 82 90 110 Recognizing and Avoiding Misuses of Graphical Summaries 117 Chapter Exercises 125 3.2 The Relationship Between Two Quantitative Variables 146 3.3 Linear Regression: Predicting the Outcome of a Variable 160 3.4 Cautions in Analyzing Associations Chapter Summary 194 Chapter Exercises 196 175 Chapter 4 Gathering Data Using Measures of Position to Describe Variability 122 The Association Between Two Categorical Variables 136 204 64 Measuring the Variability of Quantitative Data Chapter Summary 57 58 Measuring the Center of Quantitative Data 2.7 3.1 30 Chapter 2 Exploring Data With Graphs 2.5 Between Two Variables 24 of Learning From Data Chapter Summary Chapter 3 Exploring Relationships 98 4.1 Experimental and Observational Studies 4.2 Good and Poor Ways to Sample 4.3 Good and Poor Ways to Experiment 4.4 Other Ways to Conduct Experimental and Nonexperimental Studies 228 Chapter Summary 240 Chapter Exercises 241 213 Probability, Probability Distributions, and Sampling Distributions Chapter 5 Probability in Our Daily Lives 252 5.1 How Probability Quantifies Randomness 5.2 Finding Probabilities 4 261 253 5.3 Conditional Probability 5.4 Applying the Probability Rules Chapter
Summary 298 Chapter Exercises 300 205 275 284 223 134
Contents 5 Chapter 6 Random Variables and Chapter 7 Sampling Distributions Probability Distributions 6.1 6.2 6.3 307 354 7.1 Summarizing Possible Outcomes and Their Probabilities 308 How Sample Proportions Vary Around the Population Proportion 355 7.2 Probabilities for Bell-Shaped Distributions: The Normal Distribution 321 How Sample Means Vary Around the Population Mean 367 7.3 Using the Bootstrap to Find Sampling Distributions 380 Probabilities When Each Observation Has Two Possible Outcomes: The Binomial Distribution 334 Chapter Summary 345 Chapter Exercises 347 Chapter Summary 390 Chapter Exercises 392 Inferential Statistics Part Three Chapter 8 Statistical Inference: Confidence Intervals 400 8.1 Point and Interval Estimates of Population Parameters 401 8.2 Confidence Interval for a Population Proportion 8.3 Confidence Interval for a Population Mean 8.4 Bootstrap Confidence Intervals Chapter Summary 447 Chapter Exercises 449 409 426 439 9.4 Decisions and Types of Errors in Significance Tests 9.5 Limitations of Significance Tests 9.6 The Likelihood of a Type II Error and the Power of a Test 506 Chapter Summary 513 Chapter Exercises 515 498 Chapter 10 Comparing Two Groups 10.1 10.3 Significance Tests About Hypotheses 457 9.1 Steps for Performing a Significance Test 9.2 Significance Test About a Proportion 9.3 Significance Test About a Mean 568 10.5 Adjusting for the Effects of Other Variables 464 481 539 Comparing Two Groups With Bootstrap or Permutation Resampling 554 10.4 Analyzing Dependent Samples 458 522 Categorical Response: Comparing Two Proportions 524 10.2
Quantitative Response: Comparing Two Means Chapter 9 Statistical Inference: Chapter Summary 587 Chapter Exercises 590 581 Extended Statistical Methods and Models for Analyzing Categorical and Quantitative Variables Chapter 11 Categorical Data Analysis 11.1 602 Independence and Dependence (Association) 603 11.2 Testing Categorical Variables for Independence 11.3 Determining the Strength of the Association 11.4 Using Residuals to Reveal the Pattern of Association 608 622 Chapter Summary 643 Chapter Exercises 645 Chapter 12 Regression Analysis 12.1 The Linear Regression Model 12.2 Inference About Model Parameters and the Relationship 663 12.3 Describing the Strength of the Relationship 631 11.5 Fisher’s Exact and Permutation Tests 635 493 652 653 670
6 Contents 12.4 How the Data Vary Around the Regression Line 681 12.5 Exponential Regression: A Model for Nonlinearity Chapter Summary 698 Chapter Exercises 701 Chapter 13 Multiple Regression 13.1 707 Using Several Variables to Predict a Response 708 13.2 Extending the Correlation Coefficient and R2 for Multiple Regression 714 13.3 Inferences Using Multiple Regression 737 13.6 Modeling a Categorical Response: Logistic Regression 743 Chapter Summary 752 Chapter Exercises 754 Appendix Answers Index A-833 A-839 1-865 Index of Applications Credits C-877 1-872 of Variance Methods 14.1 One-Way ANOVA: Comparing Several Means 14.2 Estimating Differences in Groups for a Single Factor 772 760 761 14.3 Two-Way ANOVA: Exploring Two Factors and Their Interaction 781 Chapter Summary 795 Chapter Exercises 797 720 13.4 Checking a Regression Model Using Residual Plots 731 13.5 Regression and Categorical Predictors Chapter 14 Comparing Groups: Analysis 693 Chapter 15 Nonparametric Statistics 15.1 Compare Two Groups by Ranking 15.2 Nonparametric Methods for Several Groups and for Dependent Samples 816 Chapter Summary 827 Chapter Exercises 829 805 804 |
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| spellingShingle | Agresti, Alan 1947- Franklin, Christine A. Klingenberg, Bernhard Statistics the art and science of learning from data Estadística - Libros de texto Estatística (textos elementares) larpcal Statistique - Manuels d'enseignement supérieur Statistik Statistics Textbooks Statistik (DE-588)4056995-0 gnd |
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| title | Statistics the art and science of learning from data |
| title_auth | Statistics the art and science of learning from data |
| title_exact_search | Statistics the art and science of learning from data |
| title_exact_search_txtP | Statistics the art and science of learning from data |
| title_full | Statistics the art and science of learning from data Alan Agresti (University of Florida), Christine Franklin (University of Georgia), Bernhard Klingenberg (Williams College and New College of Florida) |
| title_fullStr | Statistics the art and science of learning from data Alan Agresti (University of Florida), Christine Franklin (University of Georgia), Bernhard Klingenberg (Williams College and New College of Florida) |
| title_full_unstemmed | Statistics the art and science of learning from data Alan Agresti (University of Florida), Christine Franklin (University of Georgia), Bernhard Klingenberg (Williams College and New College of Florida) |
| title_short | Statistics |
| title_sort | statistics the art and science of learning from data |
| title_sub | the art and science of learning from data |
| topic | Estadística - Libros de texto Estatística (textos elementares) larpcal Statistique - Manuels d'enseignement supérieur Statistik Statistics Textbooks Statistik (DE-588)4056995-0 gnd |
| topic_facet | Estadística - Libros de texto Estatística (textos elementares) Statistique - Manuels d'enseignement supérieur Statistik Statistics Textbooks Einführung |
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Indexes
THWS Schweinfurt Zentralbibliothek Lesesaal
| Call Number: |
2000 QH 231 A277(5) |
|---|---|
| Copy 1 | ausleihbar Available Place a Hold |