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Product description:
We live in a data-driven world, and the goal of this text is to teach students how to access and analyze these data critically. Authors Rob Gould and Colleen Ryan emphasize that learning statistics extends beyond the classroom to an essential life skill, and want students to develop a “data habit of mind.” Regardless of their math backgrounds, students will learn how to think about data and how to reason using data. With a clear, unintimidating writing style and carefully chosen pedagogy, this text makes data analysis accessible to all students.
Table of content:
CHAPTER 1 Introduction to Data
CHAPTER 2 Picturing Variation with Graphs
CHAPTER 3 Numerical Summaries of Center and Variation
CHAPTER 4 Regression Analysis: Exploring Associations between Variables
CHAPTER 5 Modeling Variation with Probability
CHAPTER 6 Modeling Random Events: The Normal and Binomial Models
CHAPTER 7 Survey Sampling and Inference
CHAPTER 8 Hypothesis Testing for Population Proportions
CHAPTER 9 Inferring Population Means
CHAPTER 10 Associations between Categorical Variables
CHAPTER 11 Multiple Comparisons and Analysis of Variance
CHAPTER 12 Experimental Design: Controlling Variation
CHAPTER 13 Inference without Normality
CHAPTER 14 Inference for Regression
CHAPTER 2 Picturing Variation with Graphs
CHAPTER 3 Numerical Summaries of Center and Variation
CHAPTER 4 Regression Analysis: Exploring Associations between Variables
CHAPTER 5 Modeling Variation with Probability
CHAPTER 6 Modeling Random Events: The Normal and Binomial Models
CHAPTER 7 Survey Sampling and Inference
CHAPTER 8 Hypothesis Testing for Population Proportions
CHAPTER 9 Inferring Population Means
CHAPTER 10 Associations between Categorical Variables
CHAPTER 11 Multiple Comparisons and Analysis of Variance
CHAPTER 12 Experimental Design: Controlling Variation
CHAPTER 13 Inference without Normality
CHAPTER 14 Inference for Regression
Product details:
Language: English
ISBN-10: 0321978277
ISBN-13: 978-0321978271
ISBN-13: 9780321978271
ISBN-10: 0321978277
ISBN-13: 978-0321978271
ISBN-13: 9780321978271
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