Statisticians

Engage in the development of mathematical theory or apply statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields, such as bio-statistics, agricultural statistics, business statistics, economic statistics, or other fields.

Job Task

• Apply sampling techniques or utilize complete enumeration bases in order to determine and define groups to be surveyed.
• Design research projects that apply valid scientific techniques and utilize information obtained from baselines or historical data in order to structure uncompromised and efficient analyses.
• Develop and test experimental designs, sampling techniques, and analytical methods.
• Evaluate sources of information in order to determine any limitations in terms of reliability or usability.
• Evaluate the statistical methods and procedures used to obtain data in order to ensure validity, applicability, efficiency, and accuracy.
• Examine theories, such as those of probability and inference in order to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
• Identify relationships and trends in data, as well as any factors that could affect the results of research.
• Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.
• Process large amounts of data for statistical modeling and graphic analysis, using computers.
• Report results of statistical analyses, including information in the form of graphs, charts, and tables.
• Develop an understanding of fields to which statistical methods are to be applied in order to determine whether methods and results are appropriate.
• Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.
• Supervise and provide instructions for workers collecting and tabulating data.
• Adapt statistical methods in order to solve specific problems in many fields, such as economics, biology and engineering.
• Analyze and interpret statistical data in order to identify significant differences in relationships among sources of information.

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