Statistics for Quality Assurance of Monitoring Data

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.