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Viser: Statistics: The Art and Science of Learning from Data, Global Edition
Statistics: the Art and Science of Learning from Data, Global Edition
Alan Agresti, Christine Franklin og Bernhard Klingenberg
(2022)
Sprog: Engelsk
om ca. 15 hverdage
Statistics: The Art and Science of Learning from Data, Global Edition Vital Source e-bog
Alan Agresti
(2022)
Statistics: The Art and Science of Learning from Data, Global Edition Vital Source e-bog
Alan Agresti
(2022)
Statistics: The Art and Science of Learning from Data, Global Edition Vital Source e-bog
Alan Agresti
(2022)
Statistics: The Art and Science of Learning from Data, Global Edition Vital Source e-bog
Alan Agresti, Christine A. Franklin og Bernhard Klingenberg
(2022)
Detaljer om varen
- 5. Udgave
- Paperback: 880 sider
- Udgiver: Pearson Education, Limited (September 2022)
- Forfattere: Alan Agresti, Christine Franklin og Bernhard Klingenberg
- ISBN: 9781292444765
Statistics: The Art and Science of Learning From Data, 5th Edition helps you understand what statistics is all about and learn the right questions to ask when analyzing data, instead of just memorizing procedures. It makes accessible the ideas that have turned statistics into a central science of modern life, without compromising essential material. Students often find this book enjoyable to read and stay engaged with the wide variety of real-world data in the examples and exercises. Based on the authors' belief that it's important for you to learn and analyze both quantitative and categorial data, this text pays greater attention to the analysis of proportions than many other introductory statistics texts.
Key features include:
- Greater attention to the analysis of proportions compared to other introductory statistics texts.
- Introduction to key concepts, presenting the categorical data first, and quantitative data after.
- A wide variety of real-world data in the examples and exercises
- New sections and updated content will enhance your learning and understanding.
Pearson MyLab® Students, if Pearson Pearson MyLab Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.
PART I: GATHERING AND EXPLORING DATA Statistics: The Art and Science of Learning from Data Using Data to Answer Statistical Questions Sample Versus Population Organizing Data, Statistical Software, and the New Field of Data Science
Chapter Summary
Chapter Exercises Exploring Data with Graphs and Numerical Summaries Different Types of Data Graphical Summaries of Data Measuring the Center of Quantitative Data Measuring the Variability of Quantitative Data Using Measures of Position to Describe Variability Linear Transformations and Standardizing Recognizing and Avoiding Misuses of Graphical Summaries
Chapter Summary
Chapter Exercises Exploring Relationships Between Two Variables The Association Between Two Categorical Variables The Relationship Between Two Quantitative Variables Linear Regression: Predicting the Outcome of a Variable Cautions in Analyzing Associations
Chapter Summary
Chapter Exercises Gathering Data Experimental and Observational Studies Good and Poor Ways to Sample Good and Poor Ways to Experiment Other Ways to Conduct Experimental and Nonexperimental Studies
Chapter Summary
Chapter Exercises
PART II: PROBABILITY, PROBABILITY DISTRIBUTIONS, AND SAMPLINGDISTRIBUTIONS Probability in Our Daily Lives How Probability Quantifies Randomness Finding Probabilities Conditional Probability Applying the Probability Rules
Chapter Summary
Chapter Exercises Random Variables and Probability Distributions Summarizing Possible Outcomes and Their Probabilities Probabilities for Bell-Shaped Distributions Probabilities When Each Observation Has Two Possible Outcomes
Chapter Summary
Chapter Exercises Sampling Distributions How Sample Proportions Vary Around the Population Proportion How Sample Means Vary Around the Population Mean Using the Bootstrap to Find Sampling Distributions
Chapter Summary
Chapter Exercises
PART III: INFERENTIAL STATISTICS Statistical Inference: Confidence Intervals Point and Interval Estimates of Population Parameters Confidence Interval for a Population Proportion Confidence Interval for a Population Mean Bootstrap Confidence Intervals
Chapter Summary
Chapter Exercises Statistical Inference: Significance Tests About Hypotheses Steps for Performing a Significance Test Significance Tests About Proportions Significance Tests About a Mean Decisions and Types of Errors in Significance Tests Limitations of Significance Tests The Likelihood of a Type II Error
Chapter Summary
Chapter Exercises Comparing Two Groups Categorical Response: Comparing Two Proportions Quantitative Response: Comparing Two Means Comparing Two Groups with Bootstrap or Permutation Resampling Analyzing Dependent Samples Adjusting for the Effects of Other Variables
Chapter Summary
Chapter Exercises
PART IV: ANALYZING ASSOCIATION AND EXTENDED STATISTICALMETHODS Analyzing the Association Between Categorical Variables Independence and Dependence (Association) Testing Categorical Variables for Independence Determining the Strength of the Association Using Residuals to Reveal the Pattern of Association Fisher''s Exact and Permutation Tests
Chapter Summary
Chapter Exercises Analyzing the Association Between Quantitative Variables: Regression Analysis Modeling How Two Variables Are Related Inference About Model Parameters and the Association Describing the Strength of Association How the Data Vary Around the Regression Line Exponential Regression: A Model for Nonlinearity
Chapter Summary
Chapter Exercises Multiple Regression Using Several Variables to Predict a Response Extending the Correlation and R2 for Multiple Regression Using Multiple Regression to Make Inferences Checking a Regression Model Using Residual Plots Regression and Categorical Predictors Modeling a Categorical Response
Chapter Summary
Chapter Exercises Comparing Groups: Analysis of Variance Methods One-Way ANOVA: Comparing Several Means Estimating Differences in Groups for a Single Factor Two-Way ANOVA
Chapter Summary
Chapter Exercises Nonparametric Statistics Compare Two Groups by Ranking Nonparametric Methods for Several Groups and for Matched Pairs
Chapter Summary
Chapter Exercises Appendix Answers Index Index of Applications Credits
Detaljer om varen
- 5. Udgave
- Vital Source 90 day rentals (fixed pages)
- Udgiver: Pearson International (August 2022)
- ISBN: 9781292444796R90
Bookshelf online: 90 dage fra købsdato.
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Detaljer om varen
- 5. Udgave
- Vital Source 180 day rentals (fixed pages)
- Udgiver: Pearson International (August 2022)
- ISBN: 9781292444796R180
Bookshelf online: 180 dage fra købsdato.
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Detaljer om varen
- 5. Udgave
- Vital Source 365 day rentals (fixed pages)
- Udgiver: Pearson International (August 2022)
- ISBN: 9781292444796R365
Bookshelf online: 365 dage fra købsdato.
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Detaljer om varen
- 5. Udgave
- Vital Source searchable e-book (Fixed pages)
- Udgiver: Pearson International (August 2022)
- Forfattere: Alan Agresti, Christine A. Franklin og Bernhard Klingenberg
- ISBN: 9781292444796
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
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