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The 2017 SASA Conference will be hosted by the University of Free State from 27 - 30 November 2017 at Ilanga Estate, Bloemfontein. Details here.

SACNASP

Statistical Science Field of Practice: Draft Description

Below is the current suggested description for the new Statistical Science Field of Practice at SACNASP. 

We invite all members to provide comments on the description. This will be discussed in details at the 2016 AGM. 


xx.   STATISTICAL SCIENCE FIELD OF PRACTICE

Statistical Sciences

Applied Statistician

Business Analyst

Biometrician / Biostatistician

Data Analyst

Data Scientist

      Mathematical Statistician

Operational Researcher

 

14.1  Certificated Natural Scientist – Statistical Science

The following are some examples of the scientific activities of a Certificated Scientist. They are by no means an exhaustive list:

Statistics

·      Sampling and Experimental Design: Planning and design of experiments and surveys to ensure question can be answered and variability and confounding minimized.

·      Exploratory Data Analysis and Descriptive Statistics: Exploring characteristics of data, including distributions, summary statistics, graphical summaries and simple associations.

·      Statistical Modelling: modelling the association between a response and predictors.

·      Time series Analysis: Analysing time series data and making forecasts.

·      Econometric Analysis: Economic analysis and forecasting

·      Analysis of Financial Portfolios: Analysing and optimising investment portfolios

·      Multivariable Analysis: Numerical and graphic techniques applied to data where there are more than two response  variables .

·      Non-parametric methods: Using distribution-free methods to test hypotheses and fit models.

·      Analysis of variance.

·      Biostatistics/Biometrics: Statistical analysis in the Health Sciences and Agriculture

·      Geostatistics : Statistical methods applied to problems in mining industry

·      Statistical ecology: Use of statistical modelling in ecology, biology and climate change

·      Psychometrics : Use of statistical methods in Psychology

 

Operational Research

·      Model building and solutions – linear and non-linear programming

·      Operational research or Management Science of Quality Management brings about maximisation and efficiency in industrial processes and in commercial enterprise.

·      Find solutions for problems such as those dealing with human-being-machine systems in factories, mines, army, railway transport, and larger organisations.

·      Provide solutions to problems encountered where people work together in a factory to produce, with the aid of a machine, a product from certain raw materials and what product to manufacture to show the maximum profit, or how the work should be scheduled to ensure optimal use of the machines.

·      Work with financial models.

Minimum Training:           Three year (360 credits according to HEQF) Tertiary Education.

14.2  Professional Natural Scientist – Statistical Science

The following are some examples of the scientific activities of a Professional Mathematical Scientist:

Statistics

·      Sampling and Experimental Design: Planning and design of experiments and surveys to ensure question can be answered and variability and confounding minimized.

·      Exploratory Data Analysis and Descriptive Statistics: Exploring characteristics of data, including distributions, summary statistics, graphical summaries and simple associations.

·      Statistical Modelling: modelling the association between a response and predictors, including more complex relationships like nonlinear associations and multilevel designs.

·      Time series Analysis: Analysing time series data and making forecasts.

·      Econometric Analysis: Economic analysis and forecasting

·      Analysis of Financial Portfolios: Analysing and optimising investment portfolios

·      Multivariable Analysis: Numerical and graphic techniques applied to data where there are more than two response variables .

·      Non-parametric methods: Using distribution-free methods to test hypotheses and fit models.

·      Analysis of variance.

·      Biostatistics/Biometrics: Statistical analysis in the Health Sciences and Agriculture

·      Geostatistics : Statistical methods applied to problems in mining industry

·      Statistical ecology: Use of statistical modelling in ecology, biology and climate change

·      Psychometrics : Use of statistical methods in Psychology

·      Machine Learning: Employing machine learning techniques like regression and classification trees, neural networks to analyse associations and construct prediction models

·      Stochastic modelling: Use of stochastic modelling in industry and insurance.

·      Spatial Statistics: Use of appropriate methods to estimate spatial distributions of species or diseases

·      Bayesian Modelling: Use of Bayesian methods in finance, medicine, ecology, astronomy and so more

·      Statistical theory and Inference: Teaching of  and research into statistical theory and inference to train students in handling statistical problems.

 

Operational Research

·      Model building and solutions – linear and non-linear programming

·      Simulation – Monte Carlo methods

·      Decision making Techniques

·      Operational research or Management Science of Quality Management brings about maximisation and efficiency in industrial processes and in commercial enterprise.

·      Find solutions for problems such as those dealing with human-being-machine systems in factories, mines, army, railway transport, and larger organisations.

·      Provide solutions to problems encountered where people work together in a factory to produce, with the aid of a machine, a product from certain raw materials and what product to manufacture to show the maximum profit, or how the work should be scheduled to ensure optimal use of the machines.

·      The placement of a group of factories or storage places to minimise production costs plus distribution costs of the produce to the final market.

·      Investigation the most efficient layout of an airport or shunting yard or to optimise the utilisation of oil-from-coal.

·      Scheduling the activities of large construction companies to complete a project in the shortest time span or how to saw tree stumps to obtain the maximum advantage.

·      Work with financial models.

 

General

·      Supervise and direct the activities of subordinate personnel.

·      Preparing and implementing work schedules in accordance with priorities.

·      Exercising financial control and assisting with the compilation of the annual budge

·      Mathematical Science education.

 

Minimum Training:           Four year (480 credits according to HEQF or more Tertiary Education.