**Note - For every course we have implemented live stream remote attendance options for those who prefer a no-contact alternative to in-person attendance.  You will need a computer and an internet connection.  We will follow the maximum in-person meeting size as per health authorities and if recommended we will only offer remote attendance.

If conditions permit, you are welcome to attend the course in-person, we likely will have between 5 to 10 in-person attendee's in a large room to provide safe spacing.  We also wipe every surface down and provide hand washing and disinfectant wipes as a courtesy.  If you would like more information or have any questions, please contact us via email or phone 425 270 3274.  

This course will show the student how to resolve the questions:

Is project data of the right type, quality, and quantity to support their intended use?
How are the various data elements used for decision making?

We will address the following aspects individually to separate and better understand the essential
components used to make appropriate decisions:

• Data reduction for efficient assessment (assessment of data validation output)
• Compliance with regulatory and programmatic requirements
• Representativeness and completeness of the data set
• Fulfillment of data quality objectives
• Application and assessment of statistical methods in decision-making

Finally, we will pull our assessments of these elements together to produce a detailed evaluation
of data usability for project objectives, which will answer whether a decision can be made with
the desired level of certainty, and then we will examine how to apply the obtained data in the
decision making process.

This course is the next step for students who have mastered the materials covered in NWETC’s
Principles of Quality Assurance and Quality Control in Environmental Field Programs course.
Students will be comfortable proceeding directly from the first course to the second. Although
all data users will benefit from the formal introduction to quality assurance methodologies
covered in the Principles course, those who already utilize statistical analysis tools and skills in
their daily work may be able to start with this course.