# Loose Leaf for Elementary Statistics with Formula Card and Minitab Access Card

2^{nd}Edition

Copyright: 2016

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The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.

### Program Details

# Table of Contents—Elementary Statistics, Second Edition

## Chapter 1: Basic Ideas

### 1.1 Sampling

### 1.2 Types of Data

### 1.3 Design of Experiments

### 1.4 Bias in Study

### * Chapter 1 Summary *

### * Chapter Quiz *

### * Chapter 1 Review Exercises *

### * Case Study *

## Chapter 2: Graphical Summaries of Data

### 2.1 Graphical Summaries for Qualitative Data

### 2.2 Frequency Distributions and Their Graphs

### 2.3 More Graphs for Quantitative Data

### 2.4 Graphs Can Be Misleading

### * Chapter 2 Summary *

### * Chapter Quiz *

### * Chapter 2 Review Exercises *

### * Case Study *

## Chapter 3: Numerical Summaries of Data

### 3.1 Measures of Center Data

### 3.2 Measures of Spread

### 3.3 Measures of Position

### * Chapter 3 Summary *

### * Chapter Quiz *

### * Chapter 3 Review Exercises *

### * Case Study *

## Chapter 4: Summarizing Bivariate Data

### 4.1 Correlation

### 4.2 The Least-Squares Regression Line

### 4.3 Features and Limitations of the Least-Squares Regression Line

### * Chapter 4 Summary *

### * Chapter Quiz *

### * Chapter 4 Review Exercises *

### * Case Study *

## Chapter 5: Probability

### 5.1 Basic Ideas

### 5.2 The Addition Rule and the Rule of Compliments

### 5.3 Conditional Probability and the Multiplication Rule

### 5.4 Counting

### * Chapter 5 Summary *

### * Chapter Quiz *

### * Chapter 5 Review Exercises *

### * Case Study *

## Chapter 6: Discrete Probability Distributions

### 6.1 Random Variables

### 6.2 The Binomial Distribution

### 6.3 The Poisson Distribution

### * Chapter 6 Summary *

### * Chapter Quiz *

### * Chapter 6 Review Exercises *

### * Case Study *

## Chapter 7: The Normal Distribution

### 7.1 The Standard Normal Curve

### 7.2 Applications of the Normal Distribution

### 7.3 Sampling Distributions and the Central Limit Theorem

### 7.4 The Central Limit Theorem for Proportions

### 7.5 The Normal Approximation to the Binomial Distribution

### 7.6 Assessing Normality

### * Chapter 7 Summary *

### * Chapter Quiz *

### * Chapter 7 Review Exercises *

### * Case Study *

## Chapter 8: Confidence Intervals

### 8.1 Confidence Intervals for a Population Mean, Standard Deviation Known

### 8.2 Confidence Intervals for a Population Mean, Standard Deviation Unknown

### 8.3 Confidence Intervals for a Population Proportion

### 8.4 The Central Limit Theorem for Proportions

### 8.5 Determining Which Method to Use

### * Chapter 8 Summary *

### * Chapter Quiz *

### * Chapter 8 Review Exercises *

### * Case Study *

## Chapter 9: Hypothesis Testing

### 9.1 Basic Principles of Hypothesis Testing

### 9.2 Hypothesis Tests for a Population Mean, Standard Deviation Known

### 9.3 Hypothesis Tests for a Population Mean, Standard Deviation Unknown

### 9.4 Hypothesis Tests for Proportions

### 9.5 Hypothesis Tests for a Standard Deviation

### 9.6 Determining Which Method to Use

### 9.7 Power

### * Chapter 9 Summary *

### * Chapter Quiz *

### * Chapter 9 Review Exercises *

### * Case Study *

## Chapter 10: Two-Sample Confidence Intervals

### 10.1 Confidence Intervals for the Difference Between Two Means: Independent Samples

### 10.2 Confidence Intervals for the Difference Between Two Proportions

### 10.3 Confidence Intervals for the Difference Between Two Means: Paired Samples

### * Chapter 10 Summary *

### * Chapter Quiz *

### * Chapter 10 Review Exercises *

### * Case Study *

## Chapter 11: Two-Sample Hypothesis Tests

### 11.1 Hypothesis Tests for the Difference Between Two Means: Independent Samples

### 11.2 Hypothesis Tests for the Difference Between Two Proportions

### 11.3 Hypothesis Tests for the Difference Between Two Means: Paired Samples

### 11.4 Hypothesis Tests for Two Population Standard Deviations

### 11.5 The Multiple Testing Problem

### * Chapter 11 Summary *

### * Chapter Quiz *

### * Chapter 11 Review Exercises *

### * Case Study *

## Chapter 12: Tests with Qualitative Data

### 12.1 Testing Goodness-of-Fit

### 12.2 Tests for Independence and Homogeneity

### * Chapter 12 Summary *

### * Chapter Quiz *

### * Chapter 12 Review Exercises *

### * Case Study *

## Chapter 13: Inference in Linear Models

### 13.1 Inference on the Slope of the Regression Line

### 13.2 Inference About the Response

### 13.3 Multiple Regression

### * Chapter 13 Summary *

### * Chapter Quiz *

### * Chapter 13 Review Exercises *

### * Case Study *

## Chapter 14: Analysis of Variance

### 14.1 One-way Analysis of Variance

### 14.2 Two-way Analysis of Variance

### * Chapter 14 Summary *

### * Chapter Quiz *

### * Chapter 14 Review Exercises *

### * Case Study *

## Chapter 15: Nonparametric Statistics

### 15.1 The Sign Test

### 15.2 The Rank-Sum Test

### 15.3 The Signed-Rank Test

### * Chapter 15 Summary *

### * Chapter Quiz *

### * Chapter 15 Review Exercises *

### * Case Study *

# Table of Contents—Elementary Statistics, Second Edition

## Chapter 1: Basic Ideas

### 1.1 Sampling

### 1.2 Types of Data

### 1.3 Design of Experiments

### 1.4 Bias in Study

### * Chapter 1 Summary *

### * Chapter Quiz *

### * Chapter 1 Review Exercises *

### * Case Study *

## Chapter 2: Graphical Summaries of Data

### 2.1 Graphical Summaries for Qualitative Data

### 2.2 Frequency Distributions and Their Graphs

### 2.3 More Graphs for Quantitative Data

### 2.4 Graphs Can Be Misleading

### * Chapter 2 Summary *

### * Chapter Quiz *

### * Chapter 2 Review Exercises *

### * Case Study *

## Chapter 3: Numerical Summaries of Data

### 3.1 Measures of Center Data

### 3.2 Measures of Spread

### 3.3 Measures of Position

### * Chapter 3 Summary *

### * Chapter Quiz *

### * Chapter 3 Review Exercises *

### * Case Study *

## Chapter 4: Summarizing Bivariate Data

### 4.1 Correlation

### 4.2 The Least-Squares Regression Line

### 4.3 Features and Limitations of the Least-Squares Regression Line

### * Chapter 4 Summary *

### * Chapter Quiz *

### * Chapter 4 Review Exercises *

### * Case Study *

## Chapter 5: Probability

### 5.1 Basic Ideas

### 5.2 The Addition Rule and the Rule of Compliments

### 5.3 Conditional Probability and the Multiplication Rule

### 5.4 Counting

### * Chapter 5 Summary *

### * Chapter Quiz *

### * Chapter 5 Review Exercises *

### * Case Study *

## Chapter 6: Discrete Probability Distributions

### 6.1 Random Variables

### 6.2 The Binomial Distribution

### 6.3 The Poisson Distribution

### * Chapter 6 Summary *

### * Chapter Quiz *

### * Chapter 6 Review Exercises *

### * Case Study *

## Chapter 7: The Normal Distribution

### 7.1 The Standard Normal Curve

### 7.2 Applications of the Normal Distribution

### 7.3 Sampling Distributions and the Central Limit Theorem

### 7.4 The Central Limit Theorem for Proportions

### 7.5 The Normal Approximation to the Binomial Distribution

### 7.6 Assessing Normality

### * Chapter 7 Summary *

### * Chapter Quiz *

### * Chapter 7 Review Exercises *

### * Case Study *

## Chapter 8: Confidence Intervals

### 8.1 Confidence Intervals for a Population Mean, Standard Deviation Known

### 8.2 Confidence Intervals for a Population Mean, Standard Deviation Unknown

### 8.3 Confidence Intervals for a Population Proportion

### 8.4 The Central Limit Theorem for Proportions

### 8.5 Determining Which Method to Use

### * Chapter 8 Summary *

### * Chapter Quiz *

### * Chapter 8 Review Exercises *

### * Case Study *

## Chapter 9: Hypothesis Testing

### 9.1 Basic Principles of Hypothesis Testing

### 9.2 Hypothesis Tests for a Population Mean, Standard Deviation Known

### 9.3 Hypothesis Tests for a Population Mean, Standard Deviation Unknown

### 9.4 Hypothesis Tests for Proportions

### 9.5 Hypothesis Tests for a Standard Deviation

### 9.6 Determining Which Method to Use

### 9.7 Power

### * Chapter 9 Summary *

### * Chapter Quiz *

### * Chapter 9 Review Exercises *

### * Case Study *

## Chapter 10: Two-Sample Confidence Intervals

### 10.1 Confidence Intervals for the Difference Between Two Means: Independent Samples

### 10.2 Confidence Intervals for the Difference Between Two Proportions

### 10.3 Confidence Intervals for the Difference Between Two Means: Paired Samples

### * Chapter 10 Summary *

### * Chapter Quiz *

### * Chapter 10 Review Exercises *

### * Case Study *

## Chapter 11: Two-Sample Hypothesis Tests

### 11.1 Hypothesis Tests for the Difference Between Two Means: Independent Samples

### 11.2 Hypothesis Tests for the Difference Between Two Proportions

### 11.3 Hypothesis Tests for the Difference Between Two Means: Paired Samples

### 11.4 Hypothesis Tests for Two Population Standard Deviations

### 11.5 The Multiple Testing Problem

### * Chapter 11 Summary *

### * Chapter Quiz *

### * Chapter 11 Review Exercises *

### * Case Study *

## Chapter 12: Tests with Qualitative Data

### 12.1 Testing Goodness-of-Fit

### 12.2 Tests for Independence and Homogeneity

### * Chapter 12 Summary *

### * Chapter Quiz *

### * Chapter 12 Review Exercises *

### * Case Study *

## Chapter 13: Inference in Linear Models

### 13.1 Inference on the Slope of the Regression Line

### 13.2 Inference About the Response

### 13.3 Multiple Regression

### * Chapter 13 Summary *

### * Chapter Quiz *

### * Chapter 13 Review Exercises *

### * Case Study *

## Chapter 14: Analysis of Variance

### 14.1 One-way Analysis of Variance

### 14.2 Two-way Analysis of Variance

### * Chapter 14 Summary *

### * Chapter Quiz *

### * Chapter 14 Review Exercises *

### * Case Study *

## Chapter 15: Nonparametric Statistics

### 15.1 The Sign Test

### 15.2 The Rank-Sum Test

### 15.3 The Signed-Rank Test

### * Chapter 15 Summary *

### * Chapter Quiz *

### * Chapter 15 Review Exercises *

### * Case Study *

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