Introduction to statistics and data analysis:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Australia ; Brazil ; Mexico ; Singapore ; United Kingdom ; United States
Cengage
[2020]
|
| Ausgabe: | Sixth edition |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes index |
| Beschreibung: | xx, 852 Seiten Illustrationen |
| ISBN: | 9781337793612 |
Internformat
MARC
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| 245 | 1 | 0 | |a Introduction to statistics and data analysis |c Roxy Peck (California Polytechnic State University, San Luis Obispo), Tom Short (West Chester University of Pennsylvania), Chris Olsen (Grinnell College) |
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Datensatz im Suchindex
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| adam_text | Brief Contents 1 The Role of Statistics and the Data Analysis Process 1 2 3 4 5 6 7 Collecting Data Sensibly 28 Random Variables and Probability Distributions 343 8 Sampling Variability and Sampling Distributions 427 Graphical Methods for Describing Data 77 Numerical Methods for Describing Data 148 Summarizing Bivariate Data 197 Probability 277 9 10 Estimation Using a Single Sample 453 11 12 Comparing Two Populations or Treatments 576 13 14 15 16 Hypothesis Testing Using a Single Sample 507 The Analysis of Categorical Data and Goodness-of-Fit Tests 654 Simple Linear Regression and Correlation: Inferential Methods 689 Multiple Regression Analysis 730 Analysis of Variance 759 Nonparametric (Distribution-Free) Statistical Methods 16-1 Appendix: Statistical Tables 785 Answers to Selected Odd-Numbered Exercises 805 Index 845 Sections and/or chapter numbers shaded in color can be found at www.cengage.com
Contents CHAPTER 1 The Role of Statistics and the Data Analysis Process 1 1.1 1.2 1.3 1.4 CHAPTER 2 Collecting Data Sensibly 28 2.1 2.2 2.3 2.4 2.5 CHAPTER 3 Why Study Statistics? 2 The Nature and Role of Variability 3 Statistics and the Data Analysis Process 5 Types of Data and Some Simple Graphical Displays 9 Activity 1.1 Head Sizes: Understanding Variability 22 Activity 1.2 Estimating Shape Sizes 23 Activity 1.3 A Meaningful Paragraph 24 Summary: Key Concepts and Formulas 24 Chapter Review 24 Technology Notes 26 Statistical Studies: Observation and Experimentation 29 Sampling 34 Simple Comparative Experiments 45 More on Experimental Design 60 Interpreting and Communicating the Results of Statistical Analyses 65 Activity 2.1 Facebook Friending 68 Activity 2.2 An Experiment to Test for the Stroop Effect 68 Activity 2.3 McDonald’s and the Next 100 Billion Burgers 69 Activity 2.4 Video Games and Pain Management 69 Activity 2.5 Be Careful with Random Assignment! 70 Summary: Key Concepts and Formulas 70 Chapter Review 71 Technology Notes 73 See Chapter 2 online materials for More on Observational Studies: Designing Surveys. Graphical Methods for Describing Data 77 3.1 3.2 3.3 3.4 3.5 Displaying Categorical Data: Comparative Bar Charts and Pie Charts 78 Displaying Numerical Data: Stem-and-Leaf Displays 88 Displaying Numerical Data: Frequency Distributions and Histograms 97 Displaying Bivariate Numerical Data 116 Interpreting and Communicating the Results of Statistical Analyses 125 Activity 3.1 Locating States 134 Activity 3.2 BeanCounters! 134 Summary: Key Concepts and
Formulas 135 Chapter Review 135 vii
Vlil Contents Technology Notes 139 Cumulative Review Exercises 144 CHAPTER 4 Numerical Methods for Describing Data 148 4.1 4.2 4.3 4.4 4.5 CHAPTER 5 Describing the Center of a Data Set 149 Describing Variability in a Data Set 159 Summarizing a Data Set: Boxplots 168 Interpreting Center and Variability: Chebyshev’s Rule, the Empirical Rule, and z Scores 175 Interpreting and Communicating the Results of Statistical Analyses 183 Activity 4.1 Collecting and Summarizing Numerical Data 188 Activity 4.2 Airline Passenger Weights 188 Activity 4.3 Boxplot Shapes 188 Summary: Key Concepts and Formulas 189 Chapter Review 189 Technology Notes 191 Summarizing Bivariate Data 197 5.1 5.2 5.3 5.4 5.5 Correlation 198 Linear Regression: Fitting a Line to Bivariate Data 209 Assessing the Fit of a Line 221 Nonlinear Relationships and Transformations 241 Interpreting and Communicating the Results of Statistical Analyses 259 Activity 5.1 Age and Flexibility 265 Summary: Key Concepts and Formulas 265 Chapter Review 266 Technology Notes 269 Cumulative Review Exercises 273 See Chapter 5 online materials for coverage of Logistic Regression. CHAPTER 6 Probability 277 6.1 6.2 6.3 6.4 6.5 6.6 6.7 CHAPTER 7 Chance Experiments and Events 278 Definition of Probability 285 Basic Properties of Probability 290 Conditional Probability 297 Independence 307 Some General Probability Rules 315 Estimating Probabilities Empirically and Using Simulation 327 Activity 6.1 Kisses 337 Activity 6.2 A Crisis for European Sports Fans? 338 Activity 6.3 The “Hot Hand” in Basketball 338 Summary: Key Concepts and Formulas 339
Chapter Review 339 Random Variables and Probability Distributions 343 7.1 7.2 7.3 7.4 Random Variables 344 Probability Distributions for Discrete Random Variables 347 Probability Distributions for Continuous Random Variables 353 Mean and Standard Deviation of a Random Variable 358
Contents 7.5 7.6 7.7 7.8 CHAPTER 8 Binomial and Geometric Distributions 371 Normal Distributions 383 Checking for Normality and Normalizing Transformations 400 Using the Normal Distribution to Approximate a Discrete Distribution (Optional) 410 Activity 7.1 Is It Real? 415 Activity 7.2 Rotten Eggs? 416 Summary: Key Concepts and Formulas 416 Chapter Review 417 Technology Notes 420 Cumulative Review Exercises 423 Sampling Variability and Sampling Distributions 427 8.1 8.2 8.3 Statistics and Sampling Variability 428 The Sampling Distribution of a Sample Mean 432 The Sampling Distribution of a Sample Proportion 441 Activity 8.1 Sampling Distribution of the Sample Mean 447 Activity 8.2 Sampling Distribution of the Sample Proportion 449 Activity 8.3 Do Students Who Take the SATs Multiple Times Have an Advantage in College Admissions? 450 Summary: Key Concepts and Formulas 452 Chapter Review 452 CHAPTER 9 Estimation Using a Single Sample 453 9.1 9.2 9.3 9.4 9.5 9.6 CHAPTER 10 Point Estimation 454 Large-Sample Confidence Interval for a Population Proportion 459 Confidence Interval for a Population Mean 472 Interpreting and Communicating the Results of Statistical Analyses 484 Bootstrap Confidence Intervals for a Population Proportion (Optional) 489 Bootstrap Confidence Intervals for a Population Mean (Optional) 496 Activity 9.1 Getting a Feel for Confidence Level 500 Activity 9.2 An Alternative Confidence Interval for a Population Proportion 501 Activity 9.3 Verifying Signatures on a Recall Petition 502 Activity 9.4 A Meaningful Paragraph 502 Summary: Key Concepts and Formulas 502
Chapter Review 503 Technology Notes 504 . Hypothesis Testing Using a Single Sample 507 10.1 10.2 10.3 10.4 10.5 10.6 10.7 Hypotheses and Test Procedures 508 Errors in Hypothesis Testing 512 Large-Sample Hypothesis Tests for a Population Proportion 517 Hypothesis Tests for a Population Mean 530 Power and Probability of Type II Error 541 Interpreting and Communicating the Results of Statistical Analyses 549 Randomization Test and Exact Binomial Test for a Population Proportion (Optional) 552
Contents 10.8 Randomization Test for a Population Mean (Optional) 562 Activity 10.1 Comparing the t and z Distributions 567 Activity 10.2 A Meaningful Paragraph 568 Summary: Key Concepts and Formulas 568 Chapter Review 569 Technology Notes 571 Cumulative Review Exercises 573 CHAPTER 11 Comparing Two Populations or Treatments 576 11.1 Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples 577 11.2 Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples 595 11.3 Large-Sample Inferences Concerning the Difference Between Two Population or Treatment Proportions 608 11.4 Interpreting and Communicating the Results of Statistical Analyses 619 11.5 Simulation-Based Inference for Two Means (Optional) 623 11.6 Simulation-Based Inference for Two Proportions (Optional) 633 Activity 11.1 Helium-Filled Footballs? 641 Activity 11.2 Thinking About Data Collection 642 Activity 11.3 A Meaningful Paragraph 642 Summary: Key Concepts and Formulas 642 Chapter Review 643 Technology Notes 646 CHAPTER 12 The Analysis of Categorical Data and Goodness-of-Fit Tests 654 12.1 Chi-Square Tests for Univariate Data 655 12.2 Tests for Homogeneity and Independence in a Two-way Table 665 12.3 Interpreting and Communicating the Results of Statistical Analyses 679 Activity 12.1 Pick a Number, Any Number ... 683 Activity 12.2 Color and Perceived Taste 683 Summary: Key Concepts and Formulas 684 Chapter Review 684 Technology Notes 685 CHAPTER 13 Simple Linear Regression and Correlation: Inferential Methods 689 13.1 Simple
Linear Regression Model 690 13.2 Inferences About the Slope of the Population Regression Line 702 13.3 Checking Model Adequacy 713 Activity 13.1 Are Tall Women from “Big” Families? 724 Summary: Key Concepts and Formulas 725 Technology Notes 725 Cumulative Review Exercises 726 13.4 Inferences Based on the Estimated Regression Line 13-1 13.5 Inferences About the Population Correlation Coefficient 13-8 13.6 Interpreting and Communicating the Results of Statistical Analyses 13-11
Contents CHAPTER 14 xi Multiple Regression Analysis 730 14.1 Multiple Regression Models 731 14.2 Fitting a Model and Assessing Its Utility 742 Activity 14.1 Exploring the Relationship Between Number of Predictors and Sample Size 758 Summary: Key Concepts and Formulas 758 14.3 Inferences Based on an Estimated Model 14-1 14.4 Other Issues in Multiple Regression 14-12 14.5 Interpreting and Communicating the Results of Statistical Analyses 14-22 Chapter Review 14-23 CHAPTER 15 Analysis of Variance 759 15.1 Single-Factor ANOVA and the F Test 760 15.2 Multiple Comparisons 772 Activity 15.1 Exploring Single-Factor ANOVA 780 Summary: Key Concepts and Formulas 782 Technology Notes 782 15.3 The F Test for a Randomized Block Experiment 15-1 15.4 Two-Factor ANOVA 15-7 15.5 Interpreting and Communicating the Results of Statistical Analyses 15-17 Chapter Review 15-21 CHAPTER 16 Nonparametric (Distribution-Free) Statistical Methods 16-1 16.1 Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Independent Samples 16-2 16.2 Distribution-Free Procedures for Inferences About a Difference Between Two Population or Treatment Means Using Paired Samples 16-9 16.3 Distribution-Free ANOVA 16-19 Summary: Key Concepts and Formulas 16-26 Appendix: Tables 16-27 Appendix: Statistical Tables 785 Answers to Selected Odd-Numbered Exercises 805 Index 845 Sections and/or chapter numbers shaded in color can be found at www.cengage.com
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| spelling | Peck, Roxy 1950- Verfasser (DE-588)1081691484 aut Introduction to statistics and data analysis Roxy Peck (California Polytechnic State University, San Luis Obispo), Tom Short (West Chester University of Pennsylvania), Chris Olsen (Grinnell College) Sixth edition Australia ; Brazil ; Mexico ; Singapore ; United Kingdom ; United States Cengage [2020] xx, 852 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Includes index Statistik (DE-588)4056995-0 gnd rswk-swf Statistics Mathematical statistics 1\p (DE-588)4151278-9 Einführung gnd-content Statistik (DE-588)4056995-0 s DE-604 Short, Tom -2018 Verfasser (DE-588)1196879664 aut Olsen, Chris Verfasser (DE-588)17135611X aut Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031480710&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
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| title | Introduction to statistics and data analysis |
| title_auth | Introduction to statistics and data analysis |
| title_exact_search | Introduction to statistics and data analysis |
| title_full | Introduction to statistics and data analysis Roxy Peck (California Polytechnic State University, San Luis Obispo), Tom Short (West Chester University of Pennsylvania), Chris Olsen (Grinnell College) |
| title_fullStr | Introduction to statistics and data analysis Roxy Peck (California Polytechnic State University, San Luis Obispo), Tom Short (West Chester University of Pennsylvania), Chris Olsen (Grinnell College) |
| title_full_unstemmed | Introduction to statistics and data analysis Roxy Peck (California Polytechnic State University, San Luis Obispo), Tom Short (West Chester University of Pennsylvania), Chris Olsen (Grinnell College) |
| title_short | Introduction to statistics and data analysis |
| title_sort | introduction to statistics and data analysis |
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