Occupation information for Statisticians District Of Columbia

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 biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.

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details

Currently Employed: 1,560

Projected Annual Job Openings: 170

Typical Hourly Wage: $43.18 - $66.75

Typical Annual Salary: $89,810 - $138,840

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typical training

Typical education needed for entry: Master's degree

Typical work experience needed for a job in this occupation: No work experience

Typical on-the-job training once you have a job in this occupation: No on-the-job training

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typical job duties
  • Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
  • Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
  • Identify relationships and trends in data, as well as any factors that could affect the results of research.
  • Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
  • Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
  • Report results of statistical analyses, including information in the form of graphs, charts, and tables.
  • Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
  • 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.
  • Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
tools & technology
Tools:
  • Desktop computers
  • Notebook computers
  • Personal computers

Technology:
  • Analytical or scientific software
  • Business intelligence and data analysis software
  • Data base user interface and query software
  • Development environment software
  • Object or component oriented development software