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INSTANT DOWNLOAD of Introductory Statistics: Exploring the World through Data Plus NEW MyLab Statistics with Pearson eText Package by Robert Gould, University of California, Los Angeles Colleen N. Ryan, California Lutheran University
Get Introductory Statistics: Exploring the World through Data Plus NEW MyLab Statistics with Pearson eText Package Solution manual for 30$
Table of Contents
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
2. Picturing Variation with Graphs
Case Study: Student-to-Teacher Ratio at Private and Public 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
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?
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
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 Finding Empirical Probabilities with Simulations
Exploring Statistics: "Let's Make a Deal": Stay or Switch?
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
Exploring Statistics: ESP with Coin Flipping
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
7.5 Margin of Error and Sample Size for Proportions (Optional)
Exploring Statistics: Simple Random Sampling Prevents Bias
8. Hypothesis Testing for Population Proportions
Case Study: Does Watching Violent TV as a Child Lead to Violent Behavior as an Adult?
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
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
10. Associations between Categorical Variables
Case Study: Popping Better Popcorn
10.1 The Basic Ingredients for Testing with Categorical Variables
10.2 The Chi-Square Test for Goodness of Fit
10.3 Chi-Square Tests for Associations between Categorical Variables
10.4 Hypothesis Tests When Sample Sizes Are Small
Exploring Statistics: Skittles
11. Multiple Comparisons and Analysis of Variance
Case Study: Seeing Red
11.1 Multiple Comparisons
11.2 The Analysis of Variance
11.3 The ANOVA Test
11.4 Post-Hoc Procedures
Exploring Statistics: Recovery Heart Rate
12. Experimental Design: Controlling Variation
Case Study: Does Stretching Improve Athletic Performance?
12.1 Variation Out of Control
12.2 Controlling Variation in Surveys
12.3 Reading Research Papers
Exploring Statistics: Reporting on Research Activities
13. Inference without Normality
Case Study: Electric Rays
13.1 Transforming Data
13.2 The Sign Test for Paired Data
13.3 Mann-Whitney Test for Two Independent Groups
13.4 Randomization Tests
Exploring Statistics: Balancing on One Foot
14. Inference for Regression
Case Study: Building a Better Oyster Shucker
14.1 The Linear Regression Model
14.2 Using the Linear Model
14.3 Predicting Values and Estimating Means
Exploring Statistics: Older and Slower?
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