Online courses are now sold by McGraw-Hill Education.
Fathom® Dynamic Data Software makes teaching high school statistics more engaging and fulfilling for your students. This six-week, professional-level online course will demonstrate how you can use Fathom to engage your students in learning statistics at the high school or introductory college level.
Each week you will explore a different aspect of teaching with Fathom. You’ll have the flexibility to work on the assigned activities, watch videos, and participate in discussion forums anytime during that week. You’ll receive support and expert guidance throughout the course. For the next course start dates, click here.
This course is intended for:
- Secondary school mathematics and statistics teachers
- College-level instructors of introductory statistics
- College-level instructors of pre-service teachers
Cost
The registration fee for this course is $225. Professional-level academic credit is available for an additional fee. Fathom Version 2, sold separately, is required for this course.
Prerequisites
Participants should have an understanding of the concepts covered in an introductory statistics course.
What You’ll Learn
In this course, you will learn how to:
- Import data into Fathom from various sources, including web pages, spreadsheets, and the IPUMS census microdata server
- Conduct exploratory data analysis using the full range of Fathom’s graphical and numerical capabilities
- Use Fathom Surveys to collect data using online data entry forms
- Construct probability simulations based on randomization formulas, sampling, scrambling, and collecting measures
- Incorporate sliders as parameters for simulations and models
- Use Fathom’s resampling capabilities to test hypotheses and estimate population parameters
- Make appropriate use of statistical tests, estimates, and models available within Fathom to analyze experimental results
- Incorporate Fathom into an introductory statistics course
- Use Fathom’s visualization and simulation capabilities to help students understand a variety of data analytic and statistical concepts
- Devise teaching strategies for dealing with conceptual hurdles some students face learning statistics