Introduction to Statistics and Data Analysis

Title Page
Copyright Page
Author Bios
Brief Contents
Contents
Preface
Half Title Page
Chapter 1: The Role of Statistics and the Data Analysis Process
	1.1 Why Study Statistics?
	1.2 T he Nature and Role of Variability
	1.3 Statistics and the Data Analysis Process
	1.4 Types of Data and Some Simple Graphical Displays
	Activity 1.1 Head Sizes: Understanding Variability
	Activity 1.2 Estimating SHAPE Sizes
	Activity 1.3 A Meaningful Paragraph
	Summary  Key Concepts and Formulas
	Chapter Reviewe
	Technology Notes
Chapter 2: Collecting Data Sensibly
	2.1 Statistical Studies: Observation and Experimentation
	2.2 Sampling
	2.3 Simple Comparative Experiments
	2.4 More on Experimental Design
	2.5 Interpreting and Communicating the Results of Statistical Analyses
	Activity 2.1 Facebook Friending
	Activity 2.2 An Experiment to Test for the Stroop Effect
	Activity 2.3 McDonald’s and the Next 100 Billion Burgers
	Activity 2.4 Video Games and Pain Management
	Activity 2.5 Be Careful with Random Assignment
	summary  K ey Concepts and Formulas
	chapter review 
	Technology Notes
Chapter 3: Graphical Methods for Describing Data
	3.1 Displaying Categorical Data: Comparative Bar Charts and Pie Charts
	3.2 Displaying Numerical Data: Stem-and-Leaf Displays
	3.3 Displaying Numerical Data: Frequency Distributions and Histograms
	3.4 Displaying Bivariate Numerical Data
	3.5 Interpreting and Communicating the Results of Statistical Analyses
	Activity 3.1 Locating States
	Activity 3.2 Bean Counters!
	summary  Key Concepts and Formulas
	chapter reviewe
	Technology Notes
Chapter 4: Numerical Methods for Describing Data
	4.1 Describing the Center of a Data Set
	4.2 Describing Variability in a Data Set
	4.3 Summarizing a Data Set: Boxplots
	4.4 Interpreting Center and Variability: Chebyshev’s Rule, the Empirical Rule, and z Scores
	4.5 Interpreting and Communicating the Results of Statistical Analyses
	Activity 4.1 C ollecting and Summarizing Numerical Data
	Activity 4.2 Airline Passenger Weights
	Activity 4.3 Boxplot Shapes
	Summary Key Concepts and Formulas
	Chapter review
	Technology Notes
Chapter 5: Summarizing Bivariate Data
	5.1 Correlation
	5.2 Linear Regression: Fitting a Line to Bivariate Data
	5.3 Assessing the Fit of a Line
	5.4 Nonlinear Relationships and Transformations
	5.5 Interpreting and Communicating the Results of Statistical Analyses
	Activity 5.1 Age and Flexibility
	summary  Key Concepts and Formulas
	chapter reviewe
	Technology Notes
Chapter 6: Probability
	6.1 Chance Experiments and Events
	6.2 Definition of Probability
	6.3 Basic Properties of Probability
	6.4 Conditional Probability
	6.5 Independence
	6.6 Some General Probability Rules
	6.7 Estimating Probabilities Empirically and Using Simulation
	Activity 6.1 Kisses
	ACTIVITY 6.2 A Crisis for European Sports Fans?
	Activity 6.3 The “Hot Hand” in Basketball
	Summary  Key Concepts and Formulas
	Chapter review 
Chapter 7: Random Variables and Probability Distributions
	7.1 Random Variables
	7.2 Probability Distributions for Discrete Random Variables
	7.3 Probability Distributions for Continuous Random Variables
	7.4 Mean and Standard Deviation of a Random Variable
	7.5 Binomial and Geometric Distributions
	7.6 Normal Distributions
	7.7 Checking for Normality and Normalizing Transformations
	7.8 Using the Normal Distribution to Approximate a Discrete Distribution (Optional)
	Activity 7.1 Is It Real?
	Activity 7.2 Rotten Eggs?
	summary  Key Concepts and Formulas
	chapter reviewe
	Technology Notes
Chapter 8: Sampling Variability andSampling Distributions
	8.1 Statistics and Sampling Variability
	8.2 The Sampling Distribution of a Sample Mean
	8.3 The Sampling Distribution of a Sample Proportion
	Activity 8.1 Sampling Distribution of the Sample Mean
	Activity 8.2 Sampling Distribution of the Sample Proportion Technology Activity
	Activity 8.3 Do Students Who Ta ke the SATs Multiple Times Have an Advantage in College Admissions?
	summary Key Concepts and Formulas
	chapter reviewe
Chapter 9: Estimation Usinga Single Sample
	9.1 Point Estimation
	9.2 Large-Sample Confidence Interval for a Population Proportion
	9.3 Confidence Interval for a Population Mean
	9.4 Interpreting and Communicating the Results of Statistical Analyses
	9.5 Bootstrap Confidence Intervals for a Population Proportion (Optional)
	9.6 Bootstrap Confidence Intervals for a Population Mean (Optional)
	Activity 9.1 Getting a Feel for Confidence Level
	Activity 9.3 Verifying Signatures on a Recall Petition
	Activity 9.4 A Meaningful Paragraph
	summary Key Concepts and Formulas
	chapter reviewe
	Technology Notes
Chapter 10: Hypothesis Testing Using a Single Sample
	10.1 Hypotheses and Test Procedures
	10.2 Errors in Hypothesis Testing
	10.3 Large-Sample Hypothesis Tests for a Population Proportion
	10.4 Hypothesis Tests for a Population Mean
	10.5 Power and Probability of Type II Error
	10.6 Interpreting and Communicating the Results of Statistical Analyses
	10.7 Randomization Test and Exact Binomial Test for a Population Proportion (Optional)
	10.8 Randomization Test for a Population Mean (Optional)
	Activity 10.1 Compa ring the t and z Distributions
	Activity 10.2 A Meaningful Paragraph
	summary Key Concepts and Formulas
	chapter reviewe
	Technology Notes
Chapter 11: Comparing Two Populationsor Treatments
	11.1 Inferences Concerning the Difference Between Two Population or Treatment Means Using Independent Samples
	11.2 Inferences Concerning the Difference Between Two Population or Treatment Means Using Paired Samples
	11.3 Large-Sample Inferences Concerning the Difference Between Two Population or Treatment Proportions
	11.4 Interpreting and Communicating the Resultsof Statistical Analyses
	11.5 Simulation-Based Inference for Two Means (Optional)
	11.6 Simulation-Based Inference for Two Proportions (Optional)
	ACTIVITY 11.1 Helium-Filled Footballs?
	ACTIVITY 11.2 Th inking About Data Collection
	ACTIVITY 11.3 A Meaningful Paragraph
	Summary  Key Concepts and Formulas
	Chapter reviewe
	Technology Notes
Chapter 12: The Analysis of Categorical Data and Goodness-of-FitTests
	12.1 Chi-Square Tests for Univariate Data
	12.2 Tests for Homogeneity and Independence in a Two-way Table
	12.3 Interpreting and Communicating the Results of Statistical Analyses
	ACTIVITY 12.1 Pick a Number, Any Number
	ACTIVITY 12.2 Color and Perceived Ta ste
	summary  Key Concepts and Formulas
	CHAPTER REVIEW
	Technology Notes
Chapter 13: Simple Linear Regression and Correlation: Inferential Methods
	13.1 Simple Linear Regression Model
	13.2 Inferences About the Slope of the Population Regression Line
	13.3 Checking Model Adequacy
	ACTIVITY 13.1 Are Tall Women from “Big” Families?
	summary  Key Concepts and Formulas
	Technology Notes
Chapter 14: Multiple Regression Analysis
	14.1 Multiple Regression Models
	14.2 Fitting a Model and Assessing Its Utility
	Activity 14.1 Exploring the Relationship Between Number of Predictors and Sample Size
	summary  Key Concepts and Formulas
Chapter 15: Analysis of Variance
	15.1 Single-Factor ANOVA and the F Test
	15.2 Multiple Comparisons
	Activity 15.1 E xploring Single-Fac tor ANOVA
	summary  Key Concepts and Formulas
	Technology Notes
Appendix
Answers to Selected Odd-Numbered Exercises
Index