Course Presentations
- Lesson #01: Know Your Data
- Lesson #02: Data Validation and Verification – The Process
- Lesson #03: Introduction to Statistics
- Lesson #04: Descriptive Statistics
- Lesson #05: Probability Models
- Lesson #06: Analysis of Variance (ANOVA)
- Lesson #07: Regression Analysis
- Lesson #08: Precision and Bias
- Lesson #09: Comparing Means and Paired Samples
- Lesson #10: Process Control and Capability
- Lori Hyden’s Presentation
Course Objectives: AGENDA
- Be able to select appropriate statistical techniques and apply them to analyze air quality data.
- Understand what needs to be done to prepare data sets for analysis.
- Understand the relationship between data quality objectives, data verification, data validation, and quality assurance.
- Understand how and when EPA will assess and use your data.
Target Audience: Staff from MARAMA state and local air monitoring programs and EPA Region 3 who are responsible for Quality Assurance of air quality data.
Instructors: William Shuart, MS, has taught this course many times. He teaches Environmental Applications of Geographic Information Systems and other courses at Virginia Commonwealth University. EPA Region 3 staff will also present case studies and be available to interact with students to explain how and when EPA uses state/local air quality data.
MARAMA SUPPORT AVAILABLE
MARAMA will offer support to cover the cost of room and tax (April 3rd) for up to 2 staff members per MARAMA member agency. Supported attendees are responsible for all incidentals and travel. Overnight support is not offered to those who live within 50 miles of the course location. If additional or alternative support is needed, pre-approval is necessary and a request must come from your agency’s Air Director (or their designee) and emailed to MARAMA’s Executive Director, Susan Wierman, as well as MARAMA’s Training Coordinators, Jackie Burkhardt or Sue Dilli (training@marama.org), prior to the event. A list of what type of support is needed, an estimate of additional costs and the reason for the support is essential to include. ->>
