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Occupation information for

Statisticians
District Of Columbia

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description

Develop or apply mathematical or 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, or economic statistics. Includes mathematical and survey statisticians.

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details

Currently Employed: 1,090

Projected Annual Job Openings: 40

Typical Hourly Wage: $42.80 - $57.29

Typical Annual Salary: $89,000 - $119,200

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typical training

Typical education needed for entry: Master's degree

Typical work experience needed for a job in this occupation: None

Typical on-the-job training once you have a job in this occupation: None

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typical job duties

  • Identify relationships and trends in data, as well as any factors that could affect the results of research.
  • Report results of statistical analyses, including information in the form of graphs, charts, and tables.
  • Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
  • Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
  • Develop software applications or programming to use for statistical modeling and graphic analysis.
  • Develop and test experimental designs, sampling techniques, and analytical methods.
  • Prepare data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data.
  • 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.
  • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.

tools & technology


Tools:
  • Desktop computers
  • Notebook computers
  • Personal computers

Technology:
  • Analytical or scientific software
  • Data base user interface and query software
  • Data mining software
  • Development environment software
  • Object or component oriented development software

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