Amanda Rosemary
QA/G-1 Developing Quality systems for Environmental Programs
1. Summarize what a quality system is, purpose and scope and what the benefits are.
2. Summarize the specification for EPA organizations and non-EPA organizations (summarize which
codes)
3. What are the elements for Environmental Data of the Quality System Standard?
4. What are the Phases of the QS developments and provide a brief summary of each?
5. What is the Shewhart cycle?
QA/G-3 Assessing Quality Systems 1. Summarize the purpose of AQS. QA/G-4 Systematic Planning Using the Data Quality Objectives Process
1. What is the purpose of the DQO process?
2. What are the elements of systematic planning?
3. Explain the 7 steps of the DQO process.
4. Explain DQO iteration.
QA/G-5 Quality Assurance Project Plans (QAPP)
1. What is a QAPP and what is the purpose?
2. What is the difference between a QAPP and Quality Management Plan?
3. What are the 24 elements of a QAPP? Summarize each element.
QA/G-5M QAPP for Modeling 1. What does the QAPP for modeling document help you develop?
2. Why is this document important?
QA/G-5S Choosing a sampling design for environmental data collection
1. Why is selecting a sampling plan important?
2. What does a sampling plan consist of?
3. Summarize the following sampling methods. Include when each would be appropriate to be
used.
1. Judgmental Sampling
2. Simple Random Sampling
3. Stratified Sampling
4. Systematic and Grid Sampling
5. Ranked Set Sampling
6. Adaptive Cluster Sampling
7. Composite Sampling
QA/G-6 Preparing Standard Operating Procedures (SOPs)
1. What are SOPs? Explain thoroughly, do not just expand the acronym.
2. What are the benefits of using SOPs?
3. What are the different types of SOPs?
QA/G-8 Data Verification and Data Validation
1. What is data validation?
2. What is data verification?
3. What is data integrity?
QA/G-9S DQA: Statistical Methods for Practitioners
1. By using DQA, what four questions can the user be able to answer?
2. What are the five steps included in DQA?
3. Discuss measures of association.
4. Discuss Pearson’s correlation coefficient.
5. What other types of correlations are discussed in this document.
6. Discuss the different graphical representation methods.
7. Discuss Posting plots, Symbol plots and Bubble plots and Geographic Information Systems (GIS)
applications. 8. Briefly discuss and compare probability distributions. I.e. when can we use them in environmental data analysis?
9. How do we select a statistical method?
10. Discuss the different population sizes.
11. Discuss distributional assumptions.
12. Discuss testing for trends.
13. Discuss outliers.
14. Discuss dispersions.
15. Discuss transformations.
16. Discuss independence.
17. Discuss values below detection limits.