Statisticians

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.

Median Annual Wage: $79,990

Education: Master's degree (48%); Bachelor's degree (28%); Doctoral degree (20%)

Projected Growth: Much faster than average (22% or higher)

Related Job Titles: Statistician; Statistical Analyst; Clinical Statistics Manager; Program Research Specialist; Assistant Division Chief for Statistical Program Management; Human Resource Statistician; Private Statistical/Psychometric Consultant; Senior Statistician; Statistician (Demographer); Trend Investigator

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Source: O*NET OnLine information for Statisticians.

More Computer and Mathematical Careers

  • 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.
  • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
  • Process large amounts of data for statistical modeling and graphic analysis, using computers.
  • Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.
  • Present statistical and nonstatistical results using charts, bullets, and graphs in meetings or conferences to audiences such as clients, peers, and students.
  • Develop an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate.
  • Supervise and provide instructions for workers collecting and tabulating data.
  • Evaluate sources of information to determine any limitations in terms of reliability or usability.
  • 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.
  • Report results of statistical analyses in peer-reviewed papers and technical manuals.

Source: O*NET OnLine information for Statisticians.

  • Reading Comprehension - Understanding written sentences and paragraphs in work related documents.
  • Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
  • Active Listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
  • Active Learning - Understanding the implications of new information for both current and future problem-solving and decision-making.
  • Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
  • Speaking - Talking to others to convey information effectively.
  • Science - Using scientific rules and methods to solve problems.
  • Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one.
  • Programming - Writing computer programs for various purposes.

Source: O*NET OnLine information for Statisticians.

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