Statistics The Art and Science of Learning from Data

ISBN-10: 0135131995
ISBN-13: 9780135131992
Edition: 2nd 2009
List price: $178.67 Buy it from $4.56 Rent it from $20.90
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Description: KEY MESSAGE: Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Second Edition helps readers become  More...

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Book details

List price: $178.67
Edition: 2nd
Copyright year: 2009
Publisher: Prentice Hall PTR
Publication date: 1/17/2013
Binding: Mixed Media
Pages: 848
Size: 8.50" wide x 10.75" long x 1.25" tall
Weight: 4.796
Language: English

KEY MESSAGE: Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Second Edition helps readers become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to readers without compromising necessary rigor. KEY TOPICS: GATHERING and EXPLORING DATA; Statistics: The Art and Science of Learning from Data; Exploring Data with Graphs and Numerical Summaries; Association: Contingency, Correlation, and Regression; Gathering Data; PROBABILITY AND PROBABILITY DISTRIBUTIONS; Probability in our Daily Lives; Probability Distributions; Sampling Distributions; INFERENCE STATISTICS; Statistical Inference: Confidence Intervals; Statistical Inference: Significance Tests about Hypotheses; Comparing Two Groups; ANALYZING ASSOCIATIONS AND EXTENDED STATISTICAL METHODS; Analyzing the Association Between Categorical Variables; Analyzing the Association Between Quantitative Variables: Regression Analysis; Multiple Regression; Comparing Groups: Analysis of Variance Methods; Nonparametric Statistics MARKET: for all readers interested in statistics.

Alan Agrestiis Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for 30 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. He is author of over 100 refereed article and four texts including "Statistics: The Art and Science of Learning From Data" (withnbsp;Christine Franklin,nbsp;Prentice Hall, 2nd edition 2009) and "Categorical Data Analysis" (Wiley, 2nd edition 2002). He is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. In 2003 he was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association and in 2004 he was the first honoree of the Herman Callaert Leadership Award in Biostatistical Education and Dissemination awarded by the University of Limburgs, Belgium. He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 20 countries worldwide. He has also received teaching awards from UF and an excellence in writing award from John Wiley & Sons.

Gathering and Exploring Data
Statistics: The Art and Science of Learning from Data
How Can You Investigate Using Data?
We Learn about Population Using Samples
What Role do Computers Play in Statistics?
Chapter Summary
Chapter Exercises
Exploring Data with Graphs and Numerical Summaries
What Are the Types of Data?
How Can We Describe Data using Graphical Summaries?
How Can We Describe the Center of Quantitative Data?
How Can We Describe the Spread of Quantitative Data?
How Can Measures of Position Describe Spread?
How Can Graphical Summaries Be Misused?
Answers to Chapter Figure Questions
Chapter Summary
Chapter Exercises
Association: Contingency, Correlation, and Regression
How Can We Explore the Association between Two Categorical Variables?
How Can We Explore the Association between Two Quantitative Variables?
How Can We Predict the Outcome of a Variable?
What are Some Cautions in Analyzing Associations?
Answers to Chapter Figure Questions
Chapter Summary
Chapter Exercises
Gathering Data
Should We Experiment or Should We Merely Observe?
What Are Good Ways and Poor Ways to Sample?
What Are Good Ways and Poor Ways to Experiment?
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
Probability and Probability Distributions
Probability in our Daily Lives
How Can Probability Quantify Randomness?
How Can We Find Probabilities?
Conditional Probability: What's the Probability of A, Given B?
Applying the Probability Rules
Answers to Chapter Figure Questions
Chapter Summary
Chapter Exercises
Probability Distributions
How Can We Summarize Possible Outcomes and Their Probabilities?
How Can We Find Probabilities for Bell-Shaped Distributions?
How Can We Find Probabilities when Each Observation has Two Possible Outcomes?
Answers to Chapter Figure Questions
Chapter Summary
Chapter Exercises
Sampling Distributions
How Likely Are the Possible Values of a Statistics?
The Sampling Distribution
How Close Are Sample Means to Population Means?
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
Inference Statistics
Statistical Inference: Confidence Intervals
What Are Point and Interval Estimates of Population Parameters?
How Can We Construct a Confidence Interval to Estimate a Population Proportion?
How Can We Construct a Confidence Interval to Estimate a Population Mean?
How Do We Choose the Sample Size for a Study?
How Do Computers Make New Estimation Methods Possible?
Answers to Chapter Figure Questions
Chapter Summary
Chapter Exercises
Statistical Inference: Significance Tests about Hypotheses
What Are the Steps for Performing a Significance Test?
Significance Tests about Proportions
Significance Tests about Means
Decisions and Types of Errors in Significance Tests
Limitations of Significance Tests
How Likely is a Type II Error (Not Rejecting H0, Even though it's False)?
Answers to Chapter Figure Questions
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