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ABOLISHED 06/19/2014 PER PAY LETTER 14-09 - Statistical Methods Analyst II (5555)

ABOLISHED 06/19/2014 PER PAY LETTER 14-09 - Statistical Methods Analyst II

California State Personnel Board Specification

  • Schematic Code: LX32
  • Class Code: 5555
  • Established: 04/21/1960
  • Revised: 01/23/1964
  • Title Changed: --


Under direction, to apply mathematical-statistical theory in analyzing and solving complex statistical problems; to develop new statistical methodology; and to do other related work.

Job Characteristics

Positions in the research analyst classes are primarily concerned with the use of statistical data in the investigation and analysis of the problems in specific subject-matter fields. Positions in the statistical series of classes are primarily concerned with the development of collection and reporting procedures and the statistical analysis of data.


This series of classes is distinguished from other research and statistical classes by the strong emphasis on mathematical- statistical skills. Positions in these classes require knowledge of such mathematical methods as calculus and matrix algebra, and of such statistical theory as estimation, hypothesis testing, sampling, multi-variate regression and correlation, and the design of statistical studies utilizing such theories.

Typical Tasks

Either as a complete project or a major phase of a highly complex study, analyzes and develops or modifies sampling designs and data collection procedures; develops logical models for multi-variable regression analysis; develops procedures for significance tests of statistics obtained in diverse sampling situations; derives means for the calculation of probabilities and the estimation of confidence intervals in such situations; derives the mathematical least-square solutions to multi-variable regression problems; participates in the development of methods of utilization of electronic computers in statistical areas; prepares tables, charts, graphs, and reports which explain or demonstrate the results of development or evaluation of statistical methods.

Minimum Qualifications

Either I


One year of experience in the California state service performing duties comparable to those of a Statistical Methods Analyst I.



Experience: Two years of progressively more responsible technical- statistical experience in the development of applications of mathematical-statistical theory.


(One year of experience in programming complex mathematical or statistical problems for electronic computers may be substituted for one year of experience. The possession of a Master's Degree in Statistics may be substituted for the full experience required.) and


Education: Equivalent to graduation from college with a major in statistics or other applied science area which has included or been supplemented by a minimum of 12 semester hours of progressively more difficult courses in statistics and 12 semester hours of college level mathematics, including a course in calculus.


(Additional qualifying experience in the development of applications of mathematical-statistical theory may be substituted for the required education on a year-for-year basis.)

Knowledge and Abilities

Knowledge of: Statistical theory and methods including sampling, analysis of variance and covariance, probability theory, correlation and regression, confidence interval estimation, and testing of hypothesis; mathematical theory and methods including integral and differential calculus and theory of determinants and matrix algebra; procedures of collecting and processing statistical data; operation of office equipment used in statistical analysis of data; machine tabulation techniques; programming principles and practices for electronic calculating equipment.


Ability to: Interpret technical articles in professional journals; prepare clear and concise research reports; analyze data; present statistical data in graphic and tabular form; initiate and perform analytical research in statis- tical methods.

Special Personal Characteristic

Statistical integrity.

  Updated: 10/10/2017
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