Statisticians — Tasks

Task statements

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