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Product Details:
Language: English
ISBN-10 : 0321876237
ISBN-13 : 978-0321876232
ISBN-13 : 9780321876232
Author: Robert N. Gould and Colleen N. Ryan
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Table of Content:
CHAPTER 1 Introduction to Data
CASE STUDY: Deadly Cell Phones?
1.1 What Are Data?
1.2 Classifying and Storing Data
1.3 Organizing Categorical Data
1.4 Collecting Data to Understand Causality
EXPLORING STATISTICS: Collecting a Table of Different Kinds of Data
CHAPTER 2 Picturing Variation with Graphs
CASE STUDY: Student-to-Teacher Ratio at Colleges
2.1 Visualizing Variation in Numerical Data
2.2 Summarizing Important Features of a Numerical Distribution
2.3 Visualizing Variation in Categorical Variables
2.4 Summarizing Categorical Distributions
2.5 Interpreting Graphs
EXPLORING STATISTICS: Personal Distance
CHAPTER 3 Numerical Summaries of Center and Variation
CASE STUDY: Living in a Risky World
3.1 Summaries for Symmetric Distributions
3.2 What’s Unusual? The Empirical Rule and z-Scores
3.3 Summaries for Skewed Distributions
3.4 Comparing Measures of Center
3.5 Using Boxplots for Displaying Summaries
EXPLORING STATISTICS: Does Reaction Distance Depend on Gender?
CHAPTER 4 Regression Analysis: Exploring Associations between Variables
CASE STUDY: Catching Meter Thieves
4.1 Visualizing Variability with a Scatterplot
4.2 Measuring Strength of Association with Correlation
4.3 Modeling Linear Trends
4.4 Evaluating the Linear Model
EXPLORING STATISTICS: Guessing the Age of Famous People
CHAPTER 5 Modeling Variation with Probability
CASE STUDY: SIDS or Murder?
5.1 What Is Randomness?
5.2 Finding Theoretical Probabilities
5.3 Associations in Categorical Variables
5.4 The Law of Large Numbers
EXPLORING STATISTICS: “Let’s Make a Deal”: Stay or Switch?
CHAPTER 6 Modeling Random Events: The Normal and Binomial Models
CASE STUDY: You Sometimes Get More Than You Pay For
6.1 Probability Distributions Are Models of Random Experiments
6.2 The Normal Model
6.3 The Binomial Model (Optional)
EXPLORING STATISTICS: ESP with Coin Flipping
CHAPTER 7 Survey Sampling and Inference
CASE STUDY: Spring Break Fever: Just What the Doctors Ordered?
7.1 Learning about the World through Surveys
7.2 Measuring the Quality of a Survey
7.3 The Central Limit Theorem for Sample Proportions
7.4 Estimating the Population Proportion with Confidence Intervals
EXPLORING STATISTICS: Simple Random Sampling Prevents Bias
CHAPTER 8 Hypothesis Testing for Population Proportions
CASE STUDY: Violence on TV
8.1 The Main Ingredients of Hypothesis Testing
8.2 Characterizing p-Values
8.3 Hypothesis Testing in Four Steps
8.4 Comparing Proportions from Two Populations
8.5 Understanding Hypothesis Testing
EXPLORING STATISTICS: Identifying Flavors of Gum Through Smell
CHAPTER 9 Inferring Population Means
CASE STUDY: Epilepsy Drugs and Children
9.1 Sample Means of Random Samples
9.2 The Central Limit Theorem for Sample Means
9.3 Answering Questions about the Mean of a Population
9.4 Comparing Two Population Means
9.5 Overview of Analyzing Means
EXPLORING STATISTICS: Pulse Rates
CHAPTER 10 Analyzing Categorical Variables and Interpreting Research
CASE STUDY: Popping Better Popcorn
10.1 The Basic Ingredients for Testing with Categorical Variables
10.2 Chi-Square Tests for Associations between Categorical Variables
10.3 Reading Research Papers
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