Introducing our *Beginning Statistics Plus Integrated Review*, a courseware and eBook package that provides students with an introduction to a curriculum-level statistics course integrated with applicable review skills.

Target your students’ specific remediation needs with just-in-time supplementation of foundational concepts. Check out the table of contents below.

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### Table of Contents:

##### Chapter 1.R: Integrated Review

1.R.1 Problem Solving with Whole Numbers

1.R.2 Introduction to Decimal Numbers

Chapter 1: Introduction to Statistics

1.1 Getting Started

1.2 Data Classification

1.3 The Process of a Statistical Study

1.4 How to Critique a Published Study

Chapter 1 Review

##### Chapter 2.R: Integrated Review

2.R.1 Introduction to Fractions and Mixed Numbers

2.R.2 Decimals and Fractions

2.R.3 Decimals and Percents

2.R.4 Reading Graphs

2.R.5 Constructing Graphs from a Database

2.R.6 The Real Number Line and Inequalities

Chapter 2: Graphical Descriptions of Data

2.1 Frequency Distributions

2.2a Graphical Displays of Data: Pie Charts and Bar Graphs

2.2b Graphical Displays of Data: Histograms, Polygons, Stem and Leaf Plots

2.3 Analyzing Graphs

Chapter 2 Review

##### Chapter 3.R: Integrated Review

3.R.1 Addition with Real Numbers

3.R.2 Subtraction with Real Numbers

3.R.3 Multiplication and Division with Real Numbers

3.R.4 Exponents and Order of Operations

3.R.5 Evaluating Algebraic Expressions

3.R.6 Evaluating Radicals

Chapter 3: Numerical Descriptions of Data

3.1 Measures of Center

3.2a Measures of Dispersion

3.2b Applying the Standard Deviation

3.3 Measures of Relative Position

Chapter 3 Review

##### Chapter 4.R: Integrated Review

4.R.1 Multiplication and Division with Fractions and Mixed Numbers

4.R.2 Least Common Multiple (LCM)

4.R.3 Addition and Subtraction with Fractions

4.R.4 Fractions and Percents

Chapter 4: Probability, Randomness, and Uncertainty

4.1 Introduction to Probability

4.2 Addition Rules for Probability

4.3 Multiplication Rules for Probability

4.4 Combinations and Permutations

4.5 Combining Probability and Counting Techniques

Chapter 4 Review

##### Chapter 5.R: Integrated Review

5.R.1 Order of Operations with Real Numbers

5.R.2 Solving Linear Inequalities

Chapter 5: Discrete Probability Distributions

5.1 Discrete Random Variables

5.2 Binomial Distribution

5.3 Poisson Distribution

5.4 Hypergeometric Distribution

Chapter 5 Review

##### Chapter 6.R: Integrated Review

6.R.1 Area

6.R.2 Solving Linear Equations: ax + b = c

6.R.3 Working with Formulas

Chapter 6: Normal Probability Distributions

6.1 Introduction to the Normal Distribution

6.2 Finding Area Under a Normal Distribution

6.3 Finding Probability Using a Normal Distribution

6.4 Finding Values of a Normally Distributed Random Variable

6.5 Approximating a Binomial Distribution Using a Normal Distribution

Chapter 6 Review

##### Chapter 7.R: Integrated Review

7.R.1 Ratios and Proportions

Chapter 7: The Central Limit Theorem

7.1 Introduction to the Central Limit Theorem

7.2 Central Limit Theorem with Means

7.3 Central Limit Theorem with Proportions

Chapter 7 Review

##### Chapter 8: Confidence Intervals

8.1 Estimating Population Means (Sigma Known)

8.2 Student’s t-Distribution

8.3 Estimating Population Means (Sigma Unknown)

8.4 Estimating Population Proportions

8.5 Estimating Population Variances

Chapter 8 Review

##### Chapter 9: Confidence Intervals for Two Samples

9.1 Comparing Two Population Means (Sigma Known)

9.2 Comparing Two Population Means (Sigma Unknown)

9.3 Comparing Two Population Means (Sigma Unknown, Dependent Samples)

9.4 Comparing Two Population Proportions

9.5 Comparing Two Population Variances

Chapter 9 Review

##### Chapter 10.R: Integrated Review

10.R.1 Translating English Phrases and Algebraic Expressions

10.R.2 Order of Operations with Fractions and Mixed Numbers

Chapter 10: Hypothesis Testing

10.1 Fundamentals of Hypothesis Testing

10.2 Hypothesis Testing for Population Means (Sigma Known)

10.3 Hypothesis Testing for Population Means (Sigma Unknown)

10.4 Hypothesis Testing for Population Proportions

10.5 Hypothesis Testing for Population Variances

10.6 Chi-Square Test for Goodness of Fit

10.7 Chi-Square Test for Association

Chapter 10 Review

##### Chapter 11: Hypothesis Testing (Two or More Populations)

11.1 Hypothesis Testing: Two Population Means (Sigma Known)

11.2 Hypothesis Testing: Two Population Means (Sigma Unknown)

11.3 Hypothesis Testing: Two Population Means (Sigma Unknown, Dependent Samples)

11.4 Hypothesis Testing: Two Population Proportions

11.5 Hypothesis Testing: Two Population Variances

11.6 ANOVA (Analysis of Variance)

Chapter 11 Review

##### Chapter 12.R: Integrated Review

12.R.1 The Cartesian Coordinate System

12.R.2 Graphing Linear Equations in Two Variables: Ax + By = C

12.R.3 The Slope-Intercept Form: y = mx + b

Chapter 12: Regression, Inference, and Model Building

12.1 Scatter Plots and Correlation

12.2 Linear Regression

12.3 Regression Analysis

12.4 Multiple Regression Equations

Chapter 12 Review

##### Chapter A: Appendix

A.1 Constructing Samples

A.2 Games of Chance

A.3 Name That Distribution

A.4 Type II Errors

A.5 Direct Mail

A.6 Hypothesis Testing Means (z Value)

A.7 Hypothesis Testing Proportions (z Value)

A.8 ANOVA Regression

A.9 R-Charts

A.10 p-Charts

A.11 c-Charts

A.12 Mean Charts Using Range

A.13 Mean Charts Using s

A.14 Introduction to Estimating Population Means

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