Discover relationships with this data visualization teaching tool.

Statistics instructors, have you explored Gapminder yet? It’s one of our favorite data visualization resources! It’s a free site offering many videos and tools, including a graphical simulator depicting 5 dimensions of real-world data in 2D.

Check out how you can use this tool in your classroom to show students the changing relationships between demographic, economic, and societal variables animated over time.

Change the variables to include life expectancy, average income, population, unemployment rate, CO2 emissions, amount of cell phone users, and more. Pinpoint specific historical events to discover their impact through data visualization.


  • Correlating development data
    Select Chart and compare different indicators, such as Life Expectancy and Income. What correlations can be found?
  • Analyzing trends
    Try choosing Life Expectancy and analyzing changes over time (select Time for the x axis.) Track selected countries by selecting them, clicking the Trails box, and playing the animation.
  • Mapping development indicators
    Select Map and look for patterns by selecting different development indicators for the countries.

Discovering Statistics and Data cover


Along with many downloadable data sets and computational technology instructions, this data visualization tool is available on our free web resource,

This tool is also integrated within our new text, Discovering Statistics and Data, to bring students toward a deeper understanding of statistics and how we can tell stories through data analysis.

Let us know if you want an exam copy at 1-800-426-9538 or!






Integrate Developmental Math with Statistics in Corequisite Course

Cover of Discovering Statistics and Data Plus Integrated ReviewDiscovering Statistics and Data Plus Integrated Review leads students through the study of statistics with an introduction to data.

It pays homage to the technology-driven data explosion by helping students understand the context behind future statistical concepts to be learned. Students are introduced to what data is, how we measure it, where it comes from, how to visualize it, and what kinds of career opportunities involve its analysis and processing.


This integrated course enhances curriculum-level statistics with applicable review skills to shorten the prerequisite sequence without compromising competency. Target specific remediation needs for just-in-time supplementation of foundational concepts.

Table of Contents:

Chapter 1: Statistics and Problem Solving

1.1-1.8: Introduction to Statistical Thinking

Chapter 2: Data, Reality, and Problem Solving

2.R.1: Problem Solving with Whole Numbers
2.R.2: Introduction to Decimal Numbers
2.1: The Lords of Data
2.2: Data Classification
2.3: Time Series Data vs. Cross-Sectional Data
Chapter 2 Review

Chapter 3: Visualizing Data

3.R.1: Introduction to Fractions and Mixed Numbers
3.R.2: Decimals and Fractions
3.R.3: Decimals and Percents
3.R.4: Reading Graphs
3.R.5: Constructing Graphs from a Database
3.R.6: The Real Number Line and Inequalities
3.1: Frequency Distributions
3.2: Displaying Qualitative Data Graphically
3.3: Constructing Frequency Distributions for Quantitative Data
3.4: Histograms and Other Graphical Displays of Quantitative Data
3.5: Analyzing Graphs
Chapter 3 Review

Chapter 4: Describing and Summarizing Data From One Variable

4.R.1: Addition with Real Numbers
4.R.2: Subtraction with Real Numbers
4.R.3: Multiplication and Division with Real Numbers
4.R.4: Exponents and Order of Operations
4.R.5: Evaluating Algebraic Expressions
4.R.6: Evaluating Radicals
4.1: Measures of Location
4.2: Measures of Dispersion
4.3: Measures of Relative Position, Box Plots, and Outliers
4.4: Data Subsetting
4.5: Analyzing Grouped Data
4.6: Proportions and Percentages
Chapter 4 Review

Chapter 5: Discovering Relationships

5.R.1: The Cartesian Coordinate System
5.R.2: Graphing Linear Equations in Two Variables: Ax + By = C
5.R.3: The Slope-Intercept Form: y = mx + b
5.1: Scatterplots and Correlation
5.2: Fitting a Linear Model
5.3: Evaluating the Fit of a Linear Model
5.4: Fitting a Linear Time Trend
5.5: Scatterplots for More Than Two Variables
Chapter 5 Review

Chapter 6: Probability, Randomness, and Uncertainty

6.R.1: Multiplication and Division with Fractions and Mixed Numbers
6.R.2: Least Common Multiple (LCM)
6.R.3: Addition and Subtraction with Fractions
6.R.4: Fractions and Percents
6.1: Introduction to Probability
6.2: Addition Rules for Probability
6.3: Multiplication Rules for Probability
6.4: Combinations and Permutations
6.5: Bayes’ Theorem
Chapter 6 Review

Chapter 7: Discrete Probability Distributions

7.R.1: Order of Operations with Real Numbers
7.R.2: Solving Linear Inequalities
7.1: Types of Random Variables
7.2: Discrete Random Variables
7.3: The Discrete Uniform Distribution
7.4: The Binomial Distribution
7.5: The Poisson Distribution
7.6: The Hypergeometric Distribution
Chapter 7 Review

Chapter 8: Continuous Probability Distributions

8.R.1: Area
8.R.2: Solving Linear Equations: ax + b = c
8.R.3: Working with Formulas
8.1: The Uniform Distribution
8.2: The Normal Distribution
8.3: The Standard Normal Distribution
8.4: Applications of the Normal Distribution
8.5: Assessing Normality
8.6: Approximation to the Binomial Distribution
Chapter 8 Review

Chapter 9: Samples and Sampling Distributions

9.R.1: Ratios and Proportions
9.1: Random Samples
9.2: Introduction to Sampling Distributions
9.3: The Distribution of the Sample Mean and the Central Limit Theorem
9.4: The Distribution of the Sample Proportion
9.5: Other Forms of Sampling
Chapter 9 Review

Chapter 10: Estimation: Single Samples

10.1: Point Estimation of the Population Mean
10.2: Interval Estimation of the Population Mean
10.3: Estimating the Population Proportion
10.4: Estimating the Population Standard Deviation or Variance
Chapter 10 Review

Chapter 11: Hypothesis Testing: Single Samples

11.R.1: Translating English Phrases and Algebraic Expressions
11.R.2: Order of Operations with Fractions and Mixed Numbers
11.1: Introduction to Hypothesis Testing
11.2a: Testing a Hypothesis about a Population Mean with Sigma Known
11.2b: Testing a Hypothesis about a Population Mean with Sigma Unknown
11.2c: Testing a Hypothesis about a Population Mean using P-values
11.3: The Relationship between Confidence Interval Estimation and Hypothesis Testing
11.4a: Testing a Hypothesis about a Population Proportion
11.4b: Testing a Hypothesis about a Population Proportion using P-values
11.5: Testing a Hypothesis about a Population Standard Deviation or Variance
11.6: Practical Significance vs. Statistical Significance
Chapter 11 Review

Chapter 12: Inferences about Two Samples

12.1a: Inference about Two Means: Independent Samples with Sigma Known
12.1b: Inference about Two Means: Independent Samples with Sigma Unknown
12.2: Inference about Two Means: Dependent Samples (Paired Difference)
12.3: Inference about Two Population Proportions
Chapter 12 Review

Chapter 13: Regression, Inference, and Model Building

13.1: Assumptions of the Simple Linear Model
13.2: Inference Concerning β1
13.3: Inference Concerning the Model’s Prediction
Chapter 13 Review

Chapter 14: Multiple Regression

14.1: The Multiple Regression Model
14.2: The Coefficient of Determination and Adjusted R2
14.3: Interpreting the Coefficients of the Multiple Regression Model
14.4: Inference Concerning the Multiple Regression Model and its Coefficients
14.5: Inference Concerning the Model’s Prediction
14.6: Multiple Regression Models with Qualitative Independent Variables
Chapter 14 Review

Chapter 15: Analysis of Variance (ANOVA)

15.1: One-Way ANOVA
15.2: Two-Way ANOVA: The Randomized Block Design
15.3: Two-Way ANOVA: The Factorial Design
Chapter 15 Review

Chapter 16: Looking for Relationships in Qualitative Data

16.1: The Chi-Square Distribution
16.2: The Chi-Square Test for Goodness of Fit
16.2: The Chi-Square Test for Association
Chapter 16 Review

Chapter 17: Nonparametric Tests

17.1: The Sign Test
17.2: The Wilcoxon Signed-Rank Test
17.3: The Wilcoxon Rank-Sum Test
17.4: The Rank Correlation Test
17.5: The Runs Test for Randomness
17.6: The Kruskal-Wallis Test
Chapter 17 Review

Interested in exploring this course?


Contact us today at or 1-800-426-9538.

Step-by-Step Tutor Helps Students Break Down Calculus Problems into Manageable Pieces

Calculus is a beautifully intricate subject. Sometimes, though, when it gets a little too intricate, students struggle with how to begin solving a complicated problem. That’s where the student-favorite tool, Step-by-Step, helps out.

Step-by-Step breaks down each question into manageable steps for students to solve. The system shows students how to get started and guides them in the right direction as they actively work toward the solution. The courseware lets students know if they’ve gotten the step correctly or need to try again.

At any point, students can choose to review a Learn screen that provides more background information on the concept they’re practicing, to display the current step’s answer in order to move on to the next, or to show the solution to the problem with the chance to try a similar question.

This extra practice comes in handy before students enter the Certify portion of the learning module, which asks students to demonstrate their mastery of concepts learned without access to tutoring aids.

Step-by-Step provides students with the type of lesson breakdown you’d give during class. After all, students don’t want to feel like they can’t even begin a question if it’s too complicated to solve, especially if they are practicing on their own. This tool allows them to get more familiar with the material and engage with each multi-step question on an in-depth level, helping them become more comfortable in their knowledge and skill.

View examples of questions that might give students pause:

Example 1:

Instead of giving up and immediately moving on to the next question, students can choose to receive the following help through Step-by-Step:










Example 2:


Students can receive help through Step-by-Step:











Example 3:







After successfully solving the problem, students can work through others based on similar concepts and move on to the rest of their practice set.

Interested in seeing more Step-by-Step help? Contact us at 1-800-426-9538 or for a quick demonstration!

Strategies for Academic Success In New Editions – Free Download Included

Preparation for College Mathematics and Developmental Mathematics new edition textbooks

The National Student Clearinghouse® Research Center™ studied a cohort of more than 2.2 million degree-seeking students who first started college in fall 2011 (both at 2-year and 4-year institutions in the U.S.). Six years later, 43.1% of that cohort had not completed their degree.*

Oftentimes, low completion rates are due to students not accessing the right resources or having the necessary study skills. Not all students enter your math class adequately prepared to juggle the responsibilities of both the course and their general college experience.

Hawkes wants to set students up for success — that’s why the new editions of Developmental Mathematics and Preparation for College Mathematics offer Strategies for Academic Success, an entire section devoted to preparing students for the challenges they may face and the skills they’ll need to acquire to aid them throughout their academic careers.

View the Strategies for Academic Success here.

The Strategies for Academic Success cover the following:

  1. How to Read a Math Text
  2. Tips for Success in a Math Course
  3. Tips for Improving Math Test Scores
  4. Practice, Patience, and Persistence!
  5. Note Taking
  6. Do I Need a Math Tutor?
  7. Tips for Improving Your Memory
  8. Overcoming Anxiety
  9. Online Resources
  10. Prepare for a Final Math Exam
  11. Managing Your Time Effectively



Are these skills important to your students’ success? If so, request your exam copy of either Developmental Mathematics or Preparation for College Mathematics today!

*Shapiro, D., Dundar, A., Huie, F., Wakhungu, P.K., Yuan, X., Nathan, A. & Bhimdiwali, A. (2017, December). Completing College: A National View of Student Completion Rates – Fall 2011 Cohort (Signature Report No. 14). Herndon, VA: National Student Clearinghouse Research Center.

Guided Notebook is the perfect supplement to Precalculus courseware

Precalculus Guided Notebook coverWritten by Dr. Chris Schroeder, Morehead State University, the Precalculus Guided Notebook accompanies the Precalculus courseware to emphasize the importance of writing mathematics and taking thorough notes.

View a FREE sample of Precalculus Guided Notebook.

This guided notebook ensures students engage with the content as they follow along throughout the instructional “Learn” mode and videos within the Hawkes courseware.


Students develop organizational skills as they are prompted to write down key definitions and concepts, work out similar problems that are shown in accompanying videos at, and solve problems that are similar to what they will encounter in the “Practice” and “Certify” modes.

By the time students are ready to certify, they have the major concepts of each section written down, as well as several worked-out problems in their notebooks that they can use to get through the Certification. In addition, those problems will be useful when reviewing for exams or quizzes.

Want a complimentary examination copy? Request one today!

If you have questions, contact Hawkes at 1-800-426-9538.

Preparation for College Mathematics Second Edition

Preparation for College Mathematics coverThe new edition of Preparation for College Mathematics now covers even more intermediate-level algebraic topics and increases focus on application, conceptual understanding, and the development of the academic mindset. Request an examination copy.

The goal of this newly enhanced title is to develop holistic learners who are adequately prepared for subsequent, higher-level math courses on their path to college success.

View a free sample of the new edition of Preparation for College Mathematics.


NEW features include:

  • Strategies for Academic Success – study skills and learning strategies build stronger learners with tips on note taking, time management, test taking, and more
  • Chapter Projects – discovery-based projects promote collaboration and practical applications of mathematics
  • Concept Checks – exercise sets assess students’ conceptual understanding of topics before each practice set
  • Applications – exercise sets for each section challenge students to apply topics learned to real-world contexts
  • Extra Material – more advanced topics cover all learning outcomes to prepare students for future college math courses
  • Writing & Thinking – opportunities for students to independently explore and expand on chapter concepts


Table of Contents:

1. Whole Numbers

Introduction to Whole Numbers
Addition and Subtraction with Whole Numbers
Multiplication with Whole Numbers
Division with Whole Numbers
Rounding and Estimating with Whole Numbers
Problem Solving with Whole Numbers
Solving Equations with Whole Numbers (x + b = c and ax = c)
Exponents and Order of Operations
Tests for Divisibility
Prime Numbers and Prime Factorizations

2. Integers

Introduction to Integers
Addition with Integers
Subtraction with Integers
Multiplication, Division, and Order of Operations with Integers
Simplifying and Evaluating Expressions
Translating English Phrases and Algebraic Expressions
Solving Equations with Integers (ax + b = c)

3. Fractions, Mixed Numbers, and Proportions

Introduction to Fractions and Mixed Numbers
Multiplication with Fractions
Division with Fractions
Multiplication and Division with Mixed Numbers
Least Common Multiple (LCM)
Addition and Subtraction with Fractions
Addition and Subtraction with Mixed Numbers
Comparisons and Order of Operations with Fractions
Solving Equations with Fractions
Ratios and Rates

4. Decimal Numbers

Introduction to Decimal Numbers
Addition and Subtraction with Decimal Numbers
Multiplication and Division with Decimal Numbers
Estimating and Order of Operations with Decimal Numbers
Statistics: Mean, Median, Mode, and Range
Decimal Numbers and Fractions
Solving Equations with Decimal Numbers

5. Percents

Basics of Percent
Solving Percent Problems Using Proportions
Solving Percent Problems Using Equations
Applications of Percent
Simple and Compound Interest
Reading Graphs

6. Measurement and Geometry

US Measurements
The Metric System: Length and Area
The Metric System: Weight and Volume
US and Metric Equivalents
Angles and Triangles
Volume and Surface Area
Similar and Congruent Triangles
Square Roots and the Pythagorean Theorem

7. Solving Linear Equations and Inequalities

Properties of Real Numbers
Solving Linear Equations: x + b = c and ax = c
Solving Linear Equations: ax + b = c
Solving Linear Equations: ax + b = cx + d
Working with Formulas
Applications: Number Problems and Consecutive Integers
Applications: Distance-Rate-Time, Interest, Average, and Cost
Solving Linear Inequalities
Compound Inequalities
Absolute Value Equations
Absolute Value Inequalities

8. Graphing Linear Equations and Inequalities

The Cartesian Coordinate System
Graphing Linear Equations in Two Variables
Slope-Intercept Form
Point-Slope Form
Introduction to Functions and Function Notation
Graphing Linear Inequalities in Two Variables

9. Systems of Linear Equations

Systems of Linear Equations: Solutions by Graphing
Systems of Linear Equations: Solutions by Substitution
Systems of Linear Equations: Solutions by Addition
Applications: Distance-Rate-Time, Number Problems, Amounts, and Costs
Applications: Interest and Mixture
Systems of Linear Equations: Three Variables
Matrices and Gaussian Elimination
Systems of Linear Inequalities

10. Exponents and Polynomials

Rules for Exponents
Power Rules for Exponents
Applications: Scientific Notation
Introduction to Polynomials
Addition and Subtraction with Polynomials
Multiplication with Polynomials
Special Products of Binomials
Division with Polynomials
Synthetic Division and the Remainder Theorem

11. Factoring Polynomials

Greatest Common Factor (GCF) and Factoring by Grouping
Factoring Trinomials: x^2+bx+c
Factoring Trinomials: ax^2+bx+c
Special Factoring Techniques
Review of Factoring Techniques
Solving Quadratic Equations by Factoring
Applications: Quadratic Equations

12. Rational Expressions

Introduction to Rational Expressions
Multiplication and Division with Rational Expressions
Least Common Multiple of Polynomials
Addition and Subtraction with Rational Expressions
Simplifying Complex Fractions
Solving Rational Equations
Applications: Rational Expressions
Applications: Variation

13. Roots, Radicals, and Complex Numbers

Evaluating Radicals
Rational Exponents
Simplifying Radicals
Addition, Subtraction, and Multiplication with Radicals
Rationalizing Denominators
Solving Radical Equations
Functions with Radicals
Introduction to Complex Numbers
Multiplication and Division with Complex Numbers

14. Quadratic Equations

Quadratic Equations: The Square Root Method
Quadratic Equations: Completing the Square
Quadratic Equations: The Quadratic Formula
More Applications of Quadratic Equations
Equations in Quadratic Form
Graphing Quadratic Functions
More on Graphing Functions and Applications
Solving Polynomial and Rational Inequalities

15. Exponential and Logarithmic Functions

Algebra of Functions
Composition of Functions and Inverse Functions
Exponential Functions
Logarithmic Functions
Properties of Logarithms
Common Logarithms and Natural Logarithms
Logarithmic and Exponential Equations and Change-of-Base
Applications: Exponential and Logarithmic Functions

16. Conic Sections

Translations and Reflections
Parabolas as Conic Sections
Distance Formula, Midpoint Formula, and Circles
Ellipses and Hyperbolas
Nonlinear Systems of Equations

Request an examination copy.

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