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 sales@hawkeslearning.com 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:

clc3

clc4

clc5

clc6

clc7

 

 


 

 

Example 2:

SBS1

Students can receive help through Step-by-Step:

 

 

SBS3

 

SBS4

SBS5

 

 


 

 

Example 3:

cal1

cal2

cal3

cal4

cal5

 

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 sales@hawkeslearning.com for a quick demonstration!

Another Successful Pi Day Celebration at NMJC!

New Mexico Junior College hosted another fantastic Pi Day celebration this year!

Each year, students, instructors, administrators, and community members of the town and surrounding cities gather to partake in the festivities, which include food, contests, art projects, and activities for folks of all ages. This family-friendly event promotes the fun and fascinating side of math.

Hawkes Learning’s Training and Support Specialist Kristen Thompson attended this year, and you can tell by the photos below that she and the hundreds of attendees had a blast!

The event was sponsored by New Mexico Junior College, Mu Alpha Theta (Math Honor Society), the J. F. Maddox Foundation, Tate Branch Auto Group, Hobbs Rotary, La Tienda, U.R.E.N.C.O, Permian Ford, Domino’s, O&S Quick Change, Rebecca Long Farmers Insurance, Big Cheese, Burrell Tucker, Walmart, and Option Inc./Threshold.

For more information, check out the institution’s press release here!

Presentations from Innovative Educators

Please view the presentations from each available session of the Innovative Educators Summit below. If you have questions or need clarification, please don’t hesitate to contact us at marketing@hawkeslearning.com.

English Track

Opening Keynote: Innovation in Developmental Education | PowerPoint
—Peter Adams, Accelerated Learning Program (ALP)

Integrated Communication Arts in a Corequisite World | PowerPoint
—Dr. Sherry Wilson, Crowder College

Support through Print and Digital Resources in an English Classroom | PowerPoint
—Mary Kate Wilson and Mary Campbell, Greenville Technical College

Implementing Foundations of English into the Developmental Classroom | PowerPoint
—Mike Thompson and Joan Myers, North Iowa Area Community College

Additional Downloads from Mike and Joan:

  • Global/Linear Activity | PDF
  • Good Note Taking | PDF
  • Learning Style Inventory | PDF
  • Lessons |Word
  • Organization Problems Inventory | PDF

Math Track

Seven Years of Emporium: What We’ve Learned, How We’ve Adjusted, and Future Plans | PowerPoint
—Curtis Mitchell & Jim Cochran, Kirkwood Community College

Mini Session I: Boot Camp Courses Fast-Track Student Success in Math | PowerPoint
Mini Session II: Corequisite and Math Pathway Implementation | PowerPoint
—Amy Young and Brandon Ford, Navarro College

Implementing Corequisites to Support Math Pathways | PowerPoint
—Dr. Linda Goeller, Melissa Bryant, and Emily Carpenter, Seminole State College

Integrating Math Study Skills into Online and Classroom Courses | PowerPoint
—Dr. Paul Nolting, Academic Success Press

A College Algebra Success Story | PowerPoint
—Dr. John Taylor, University of North Carolina – Charlotte

An Emporium Approach to Intervention in Algebra | PowerPoint
—Jonathan Watkins and Kelly Boyd, The University of Louisville

Math Lab Setting with a Modular Curriculum | PowerPoint
—Ellen Oliver, New River Community College and Bob Parker, Rappahannock Community College

Scaling Math Pathways with Corequisite Courses | PowerPoint
—Shelley Parks, Dr. Garry Sigler, and Heather Turner, Texas State Technical College – Waco

 

Both Math and English

Using Data to Improve Curricula and Pedagogy | PowerPoint
—Dr. Tristan Denley, Chief Academic Officer of the University System of Georgia

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 tv.hawkeslearning.com, 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.