02

Identify relationships and trends in data, as well as any factors that could affect the results of research.

03

Determine whether statistical methods are appropriate, based on user needs or research questions of interest.

04

Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.

05

Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.

06

Report results of statistical analyses, including information in the form of graphs, charts, and tables.

07

Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.

08

Process large amounts of data for statistical modeling and graphic analysis, using computers.

09

Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.

10

Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.