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## Details

Genre/Form: | Einführung Textbooks |
---|---|

Material Type: | Program, Internet resource |

Document Type: | Book, Computer File, Internet Resource |

All Authors / Contributors: |
Alan Agresti; Christine A Franklin |

ISBN: | 0135131995 9780135131992 0135132401 9780135132401 9780136037354 0136037356 0131357468 9780131357464 0135132029 9780135132029 |

OCLC Number: | 123485547 |

Notes: | Includes indexes. |

Description: | xxviii, 769, [47] pages : illustrations (some color) ; 29 cm + 1 CD-ROM (4 3/4 in.) + 1 workbook (166 pages : illustrations ; 28 cm) |

Contents: | PART 1: GATHERING and EXPLORING DATA 1. Statistics: The Art and Science of Learning from Data1.1 How Can You Investigate Using Data?1.2 We Learn about Population Using Samples1.3 What Role do Computers Play in Statistics? Chapter Summary Chapter Exercises 2. Exploring Data with Graphs and Numerical Summaries2.1 What Are the Types of Data?2.2 How Can We Describe Data using Graphical Summaries?2.3 How Can We Describe the Center of Quantitative Data?2.4 How Can We Describe the Spread of Quantitative Data?2.5 How Can Measures of Position Describe Spread?2.6 How Can Graphical Summaries Be Misused? Answers to Chapter Figure Questions Chapter Summary Chapter Exercises 3. Association: Contingency, Correlation, and Regression3.1 How Can We Explore the Association between Two Categorical Variables?3.2 How Can We Explore the Association between Two Quantitative Variables?3.3 How Can We Predict the Outcome of a Variable?3.4 What are Some Cautions in Analyzing Associations? Answers to Chapter Figure Questions Chapter Summary Chapter Exercises 4. Gathering Data4.1 Should We Experiment or Should We Merely Observe?4.2 What Are Good Ways and Poor Ways to Sample?4.3 What Are Good Ways and Poor Ways to Experiment?4.4 What Are Other Ways to Perform Experimental and Nonexperimental Studies? Answers to Chapter Figure Questions Chapter Summary Chapter Exercises PART 1 REVIEW Part 1 Summary Part 1 Exercises PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS 5. Probability in our Daily Lives5.1 How Can Probability Quantify Randomness?5.2 How Can We Find Probabilities?5.3 Conditional Probability: What's the Probability of A, Given B?5.4 Applying the Probability Rules Answers to Chapter Figure Questions Chapter Summary Chapter Exercises 6. Probability Distributions6.1 How Can We Summarize Possible Outcomes and Their Probabilities?6.2 How Can We Find Probabilities for Bell-Shaped Distributions?6.3 How Can We Find Probabilities when Each Observation has Two Possible Outcomes? Answers to Chapter Figure Questions Chapter Summary Chapter Exercises 7. Sampling Distributions7.1 How Likely Are the Possible Values of a Statistics? The Sampling Distribution7.2 How Close Are Sample Means to Population Means?7.3 How Can We Make Inferences about a Population? Answers to Chapter Figure Questions Chapter Summary Chapter Exercises PART 2 REVIEW Part 2 Summary Part 2 Exercises PART 3: INFERENCE STATISTICS 8. Statistical Inference: Confidence Intervals8.1 What Are Point and Interval Estimates of Population Parameters?8.2 How Can We Construct a Confidence Interval to Estimate a Population Proportion?8.3 How Can We Construct a Confidence Interval to Estimate a Population Mean?8.4 How Do We Choose the Sample Size for a Study?8.5 How Do Computers Make New Estimation Methods Possible? Answers to Chapter Figure Questions Chapter Summary Chapter Exercises 9. Statistical Inference: Significance Tests about Hypotheses9.1 What Are the Steps for Performing a Significance Test?9.2 Significance Tests about Proportions9.3 Significance Tests about Means9.4 Decisions and Types of Errors in Significance Tests9.5 Limitations of Significance Tests9.6 How Likely is a Type II Error (Not Rejecting H0, Even though it's False)? Answers to Chapter Figure Questions Chapter Summary Chapter Exercises 10. Comparing Two Groups10.1 Categorical Response: How Can We Compare Two Proportions?10.2 Quantitative Response: How Can We Compare Two Means?10.3 Other Ways of Comparing Means and Comparing Proportions10.4 How Can We Analyze Dependent Samples?10.5 How Can We Adjust for Effects of Other Variables? Answers to Chapter Figure Questions Chapter Summary Chapter Exercises PART 3 REVIEW Part 3 Summary Part 3 Exercises PART 4: ANALYZING ASSOCIATIONS AND EXTENDED STATISTICAL METHODS 11. Analyzing the Association Between Categorical Variables11.1 What is Independence and What is Association?11.2 How Can We Test Whether Categorical Variables are Independent?11.3 How Strong is the Association?11.4 How Can Residuals Reveal the Pattern of Association?11.5 What if the Sample Size is Small? Fisher's Exact Test Answers to Chapter Figure Questions Chapter Summary Chapter Exercises 12. Analyzing the Association Between Quantitative Variables: Regression Analysis12.1 How Can We "Model" How Two Variables Are Related?12.2 How Can We Describe Strength of Association?12.3 How Can We Make Inferences about the Association?12.4 What Do We Learn from How the Data Vary around the Regression Line?12.5 Exponential Regression: A Model for Nonlinearity Answers to Chapter Figure Questions Chapter Summary Chapter Exercises 13. Multiple Regression13.1 How Can We Use Several Variables to Predict a Response?13.2 Extending the Correlation and R-squared for Multiple Regression13.3 How Can We Use Multiple Regression to Make Inferences?13.4 Checking a Regression Model Using Residual Plots13.5 How Can Regression Include Categorical Predictors?13.6 How Can We Model a Categorical Response? Answers to Chapter Figure Questions Chapter Summary Chapter Exercises 14. Comparing Groups: Analysis of Variance Methods14.1 How Can We Compare Several Means?: One-Way ANOVA14.2 How Should We Follow Up an ANOVA F Test14.3 What if there are Two Factors?: Two-way ANOVA Answers to Chapter Figure Questions Chapter Summary Chapter Exercises 15. Nonparametric Statistics15.1 How Can We Compare Two Groups by Ranking?15.2 Nonparametric Methods for Several Groups and for Matched Pairs Answers to Chapter Figure Questions Chapter Summary Chapter Exercises PART 4 REVIEW Part 4 Summary Part 4 Exercises TablesSelected AnswersIndexIndex of Applications Photo Credits |

Responsibility: | Alan Agresti, Christine Franklin. |

More information: |

### Abstract:

## Reviews

*Editorial reviews*

Publisher Synopsis

REVIEWER and CLASS TEST COMMENTS: "This was one of the most enjoyable texts that I have come across. I learned a lot from this book and it has made statistics a lot more fun to teach." - Nazanin Azarnia [CLASS TESTER], Sante Fe Community College, FL "Good descriptions of concepts, does help them with procedures, strives to help students learn to solve problems...a book my students seemed to find readable." - Ginger Rowell [CLASS TESTER], Middle Tennessee University "Overall, my experience with this text was very positive. The inference chapters were especially strong....Many topics were presented in a novel way compared to other texts. Examples and homework problems were the most relevant and interesting that I have ever seen." - John Seppala [CLASS TESTER], Valdosta State University, GA " The examples are one of the strong points of this text... " -- Martin Lindquist, Columbia University " The examples used in this text are excellent. ... A student... is likely to believe that statistics is actually useful, and know how to use it, and also how not to use it." -- Alla Sikorskii, Michigan State University " I think the writing style in these chapters is better than my current text... " -- Robert Price, East Tennessee State University " Keep students' needs in mind and reduce confusion; This is an important distinguishing characteristic... " -- Rob Paige, Texas Tech " Agresti/Franklin' s use of current and interesting topics is very impressive... " -- Dawn White, CSU Bakersfield " The examples in the text are outstanding. Coincidences, therapeutic touch, astrology, basketball, election results, medical trials, etc. - lots of interesting and relevant examples. I really enjoyed reading the text and I' m sure that my students would also." - Martin Jones, College of Charleston " The quality of the Agresti/Franklin examples would strongly influence my decision to adopt this book! I found these examples to be clearly explained, timely, and from a broad range of topics... " - Leslie Hayes, St. Joseph' s University " Statistics is just as much a problem-solving technique as it is a mathematical science. Students need to see the importance of statistics in everyday life and scientific research. They need to learn how to become educated citizens as well as possible future researchers... From what I have seen... the text seems to do an excellent job promoting this. The chapters are filled with interesting examples... Furthermore, there are more than enough exercises." - Stephanie Pickle, Virginia Polytechnic Institute and State University STUDENT QUOTES (CLASS TESTERS) " I thought examples were interesting and they helped my understanding." Glen Pauch, University of Manitoba " ... the interesting examples... peaked my interest in the material." " enjoyed the examples... modern situations with very up-to-date information. I also found that they illustrated the concepts well." Benjamin Meek, University of Manitoba "It definitely showed me how important statistics is in real world applications. It encouraged me to thinkabout how in my career, statistics would be helpful." Jenna Howells, University of Manitoba " ... real life examples were used to make the information relative and useful which made me think more about what I was learning." Brenda Klassen, University of Manitoba " ... everyday examples that were relevant in our lives so it made me think about how statistics is used all the time." Valene Bertrand, University of Manitoba " ... [the examples] are really good at illustrating concepts." Sarah Voss, College of Charleston " ..I enjoyed the true to life examples... seeing such examples allowed me to relate statistics to real life... " Shannon Sheehan, College of Charleston " I found the examples to do a great job explaining and illustrating the topics discussed." Troy Wood, University of Georgia " The examples were excellent, interesting and easy to relate to.." Lindsey Kenoe, University of Georgia " ..examples dealt with current events and issues of interest to all the students using this book." Benjamin Cobb, UGA " ... what an awesome job of explaining concepts through examples and exercises!" Dinean Stevens, UGA " I really don' t want this to sound corny or exaggerated... but this is really the first math class I' ve enjoyed and I think it' s not just because of the nature of statistics but because of the examples and scenarios used." David Mahon, UGA " ... these examples are actually about real life: teen drinking, politics, internet use... otherbooks have examples that are completely unrealistic... " Logan Troutman, Valdosta State University " I loved the exercise sets because they were clear & understandable... " Jaclyn Planas, Central Connecticut State University [Examples]... .very relevant, current. They made statistics come to life, instead of just being about numbers" Michael C. Larkins, Middle TN State U "I' ve often struggled in math and need very clear explanations. This book gave step-by-step examples that made it easy to understand." Amanda M. Jenkins, Middle TN State U "I would say that I highly recommend this book. Its easy to read, instead of giving several formulas, the book preps you on how to read the passage and understand what the passage asks you to do. ... not only did the book give the answer (which is what all books do), but the book described the answer so that you knew why that was the answer." Katie, Sante Fe CC Read more...

*User-contributed reviews*