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Chapter
1. Residuals
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Chapter
1. Residuals
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Chapter
1. Categorical Variables - pie charts and bar graphs
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Chapter
1. Individuals and variables
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Chapter
1. Categorical variables: Pie Charts and Bar Graphs
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Chapter
1. Chapter 1 Introduction
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Chapter
1. Individuals and variables
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Chapter
1. Interpreting Histograms
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Chapter
1. Quantitative Data: Histograms
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Chapter
1. Quantitative variables: Stemplots
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Chapter
1. Time Plots
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Chapter
1. Association Does Not Imply Causation
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_5_intro.html
Chapter
1. Introduction to Regression
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Chapter
1. Regression lines
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Chapter
1. Least-squares regression line
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Chapter
1. Chapter 2 Introduction
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Chapter
1. TITLE
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Chapter
1. Choosing Measures of Center and Spread
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Chapter
1. Comparing the mean and the median
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Chapter
1. Measuring center: the mean
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Chapter
1. Measuring Center: the median
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Chapter
1. Measuring spread: the quartiles
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Chapter
1. Spotting Suspected Outliers
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Chapter
1. Cautions about Correlation and Regression
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Chapter
1. Density Curves
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Chapter
1. Describing Density Curves
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Chapter
1. Introduction to the Normal Distributions
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Chapter
1. Normal Distributions
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Chapter
1. Standard Normal Distribution
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Chapter
1. Influential Observations
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Chapter
1. Chapter 6 Two-Way Tables Introduction
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Chapter
1. Marginal Distributions
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Chapter
1. Finding Normal Proportions
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Chapter
1. Finding a value given a proportion
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Chapter
1. Using the Standard Normal Table
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Chapter
1. Conditional Distributions
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Chapter
1. Introduction to Producing Data: Experiments
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Chapter
1. Observation versus Experiment
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Chapter
1. Subjects, Factors, Treatments
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Chapter
1. How to Experiment Badly
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Chapter
1. Randomized Comparative Experiments
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Chapter
1. The Logic of Randomized Comparative Experiments
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Chapter
1. Matched Pairs and Other Block Designs
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Chapter
1. Population versus sample
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Chapter
1. How to Sample Badly
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_8_simple_random_samples.html
Chapter
1. Simple Random Samples
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Chapter
1. Inference about the Population
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Chapter
1. Cautions about Sample Surveys
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Chapter
1. Simpson's Paradox
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Chapter
1. Explanatory and response variables
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_4_interpreting_scatterplots.html
Chapter
1. Interpreting Scatterplots
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_14_margin_of_error_and_confidence_level.html
Chapter
1. Margin of Error and Confidence Level
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_14_the_reasoning_of_statistical_estimation.html
Chapter
1. The Reasoning of Statistical Estimation
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_14_how_confidence_intervals_behave_2012.html
Chapter
1. How Confidence Intervals Behave
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_14_introduction_to_chapter_14_introduction_to_inference_2009.html
Chapter
1. Introduction to Confidence Intervals: The Basics
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_10_introduction_to_chapter_10.html
Chapter
1. Introducing Probability
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_10_the_idea_of_probability.html
Chapter
1. The Idea of Probability
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_14_confidence_intervals_for_the_mean_mu.html
Chapter
1. Confidence Intervals for a Population Mean
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_18_conditions_for_inference_about_a_mean.html
Chapter
1. Conditions for Inference about a Mean
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Chapter
1. The One-Sample t Test
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Chapter
1. Robustness of t Procedures
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Chapter
1. The One-Sample t Confidence Interval
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Chapter
1. Introduction to Tests of Significance: The Basics
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Chapter
1. The Reasoning of Tests of Significance
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Chapter
1. P-values and Statistical Significance
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Chapter
1. Quantitative variables: Histograms
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Chapter
1. Probability Models
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Chapter
1. Probability Rules
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Chapter
1. Discrete Probability Models
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Chapter
1. Continuous Probability Models
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Chapter
1. Random Variables
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Chapter
1. Introduction to Chapter 12: General Rules of Probability
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Chapter
1. Independence and Multiplication Rule
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Chapter
1. Conditional Probability
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Chapter
1. Independence Again
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Chapter
1. Continuous Probability Models
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Chapter
1. The Sample Proportion \(\widehat{p} \)
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Chapter
1. Large-Sample Confidence Intervals for Proportions
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Chapter
1. Accurate Confidence Intervals for a Proportion
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Chapter
1. Choosing the Sample Size
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Chapter
1. Significance Tests for a Proportion
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Chapter
1. Two-Sample Problems: Proportions
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Chapter
1. Accurate Confidence Intervals for Comparing Proportions
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Chapter
1. Large-Sample Confidence Intervals for Comparing Proportions
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Chapter
1. Accurate Confidence Intervals for Comparing Proportions
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Chapter
1. Significance Tests for Comparing Proportions
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Chapter
1. The Sampling Distribution of a Difference Between Proportions
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Chapter
1. Introduction to One-Way ANOVA: Comparing Several Means
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Chapter
1. Comparing Several Means
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Chapter
1. The Idea of Analysis of Variance
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Chapter
1. The Analysis of Variance F test
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Chapter
1. Conditions for ANOVA
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Chapter
1. The Binomial Setting and Binomial Distributions
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Chapter
1. Binomial Distributions in Statistical Sampling
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Chapter
1. Binomial Probabilities
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Chapter
1. Binomial Mean and Standard Deviation
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Chapter
1. The Normal Approximation to the Binomial Distribution
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Chapter
1. Stating Hypotheses
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Chapter
1. Introduction to Sampling Distributions
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Chapter
1. Parameters and Statistics
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Chapter
1. Statistical Estimation and the Law of Large Numbers
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Chapter
1. Facts about correlation
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Chapter
1. Residuals
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Chapter
1. Comparing Two Population Means
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Chapter
1. Robustness Again
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Chapter
1. Introduction to Chapter 24: Inference for Regression
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Chapter
1. Conditions for Regression Inference
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Chapter
1. Estimating the Parameters
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Chapter
1. Testing the Hypothesis of No Linear Relationship
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Chapter
1. Testing Lack of Correlation
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Chapter
1. Confidence Interval for the Regression Slope
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Chapter
1. Checking the Conditions for Inference
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_23_two_way_tables.html
Chapter
1. Two-Way Tables
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Chapter
1. The Problem of Multiple Comparisons
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Chapter
1. Expected Cell Counts in Two-Way Tables
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Chapter
1. The Five-number Summary and Boxplots
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Chapter
1. Measuring Spread: the Standard Deviation
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Chapter
1. Organizing a Statistical Problem
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Chapter
1. The 68-95-99.7 Rule
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Chapter
1. Adding categorical variables to scatterplots
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Chapter
1. Measuring linear association: correlation
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Chapter
1. Displaying relationships: Scatterplots
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Chapter
1. Residual Lines
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Chapter
1. Facts about the Least-Squares Regression
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Chapter
1. Exploring Data: Part I review
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Chapter
1. Other Sampling Designs
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Chapter
1. Introduction to Producing Data: Sampling
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Chapter
1. Cautions about Experimentation
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Chapter
1. Expected Counts in Two-Way Tables
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Chapter
1. Sampling Distribution of \(\overline{x} \)
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Chapter
1. Sampling Distributions
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Chapter
1. The Central Limit Theorem
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Chapter
1. Introduction to Confidence Intervals: the Basics
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Chapter
1. Tests for a Population Mean
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Chapter
1. Cautions about Confidence Intervals
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Chapter
1. Planning Studies Part 1: The Power of a Statistical Test
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Chapter
1. Planning Studies Part 2: Type I and Type II Errors of a Statistical Test*
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Chapter
1. Planning Studies: Sample Size for Confidence Intervals
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Chapter
1. Conditions for Inference in Practice
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Chapter
1. Cautions about Significance Tests
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Chapter
1. From Exploration to Inference: Part II Review
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Chapter
1. The t Distributions
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Chapter
1. Matched Pairs t Procedures
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Chapter
1. Two-Sample Problems
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Chapter
1. Two-Sample t Procedures
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Chapter
1. Details of the t Approximation
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Chapter
1. Avoid the Pooled Two-Sample t Procedures
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Chapter
1. Inferences About Variables Part III: Review 1
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Chapter
1. Cell Counts Required for Chi-Square Tests
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Chapter
1. The Chi-Square Distributions
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Chapter
1. The Chi-Square Test for Goodness of Fit
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Chapter
1. The Chi-Square Test Statistic
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http://digfir-published.macmillanusa.com/stat_tutor_html5/stat_tutor_html5_ch_23_uses_of_the_chisquare_test.html
Chapter
1. Uses of the Chi-Square Test
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Chapter
1. Inference about Prediction
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Chapter
1. What is Statistics?
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Chapter
1. Measuring spread: the quartiles
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Chapter
1. Introduction to Sampling
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Chapter
1. What is statistics?
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Chapter
1. Selecting Which Procedure to Use
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Chapter
1. Tree Diagrams
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Chapter
1. Significance Tests for a Proportion
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Chapter
1. Inference about Prediction
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