Core Tasks Include:
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Process large amounts of data for statistical modeling and graphic analysis, using computers.
- Identify relationships and trends in data, as well as any factors that could affect the results of research.
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Evaluate sources of information to determine any limitations, in terms of reliability or usability.
- Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
- Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
- Supervise and provide instructions for workers collecting and tabulating data.
- Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed.
- Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
- Develop and test experimental designs, sampling techniques, and analytical methods.
- Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
- Report results of statistical analyses in peer-reviewed papers and technical manuals.
- Develop software applications or programming to use for statistical modeling and graphic analysis.
- Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Prepare and structure data warehouses for storing data.
The data sources for the information displayed here include: O*NET™.