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SOUTH AFRICAN QUALIFICATIONS AUTHORITY 
REGISTERED UNIT STANDARD THAT HAS PASSED THE END DATE: 

Conduct and apply statistical analyses required to make informed public sector finance decisions 
SAQA US ID UNIT STANDARD TITLE
119335  Conduct and apply statistical analyses required to make informed public sector finance decisions 
ORIGINATOR
SGB Public Administration and Management 
PRIMARY OR DELEGATED QUALITY ASSURANCE FUNCTIONARY
-  
FIELD SUBFIELD
Field 03 - Business, Commerce and Management Studies Public Administration 
ABET BAND UNIT STANDARD TYPE PRE-2009 NQF LEVEL NQF LEVEL CREDITS
Undefined  Regular  Level 5  Level TBA: Pre-2009 was L5  15 
REGISTRATION STATUS REGISTRATION START DATE REGISTRATION END DATE SAQA DECISION NUMBER
Passed the End Date -
Status was "Reregistered" 		 2018-07-01  2023-06-30  SAQA 06120/18 
LAST DATE FOR ENROLMENT LAST DATE FOR ACHIEVEMENT
2026-06-30   2029-06-30  

In all of the tables in this document, both the pre-2009 NQF Level and the NQF Level is shown. In the text (purpose statements, qualification rules, etc), any references to NQF Levels are to the pre-2009 levels unless specifically stated otherwise.  

This unit standard does not replace any other unit standard and is not replaced by any other unit standard. 

PURPOSE OF THE UNIT STANDARD 
Learners working towards this standard will be working within a Public Sector environment, specialising in Public Finance Management and Administration, where the acquisition of competence against this standard will add value to one's job. This standard will also add value to public officials who are seeking to develop a career pathway towards becoming an accomplished public finance management and administration specialist.

The qualifying learner is capable of:
  • Demonstrating an understanding of the various statistical techniques used to summarise and present data
  • Explaining and demonstrating the use of probability concepts where risk and uncertainty exist
  • Explaining and demonstrating techniques used for forecasting based on an analysis of time series data
  • Demonstrating an understanding of regression analysis as a tool of discerning economic relationships
  • Demonstrating an understanding of sampling techniques to decision situations that are dependent on limited information 
    		•

    LEARNING ASSUMED TO BE IN PLACE AND RECOGNITION OF PRIOR LEARNING 
    Learners accessing this Unit Standard must be in possession of a Further Education and Training Certificate or equivalent qualification 

    UNIT STANDARD RANGE 
    N/A 

    Specific Outcomes and Assessment Criteria: 

    SPECIFIC OUTCOME 1 
    Demonstrate an understanding of the various statistical techniques used to summarise and present data. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    Distinction is drawn between data and information with reference to features of good information 

    ASSESSMENT CRITERION 2 
    Difference between primary and secondary data is demonstrated with reference to different sources of secondary data for decision making 

    ASSESSMENT CRITERION 3 
    Different methods of sampling are identified and explained for appropriateness of each sampling technique 

    ASSESSMENT CRITERION 4 
    Different ways of presenting data and results of analyses are explained 

    ASSESSMENT CRITERION 5 
    Various forms of graphs and diagrams are prepared and explained 
    ASSESSMENT CRITERION RANGE 
    Graphs and diagrams include but are not limited to bar charts, time series graphs (not Z charts), scatter diagrams, histograms and ogives
     

    ASSESSMENT CRITERION 6 
    Summary statistics for ungrouped data are calculated and the context explained to guide decisions 
    ASSESSMENT CRITERION RANGE 
    Statistics for ungrouped data include but are not limited to arithmetic mean, median, mode, range, standard deviation and variance
     

    ASSESSMENT CRITERION 7 
    Summary statistics for grouped data are calculated and the context explained to guide decisions 
    ASSESSMENT CRITERION RANGE 
    Statistics for grouped data include but are not limited to arithmetic mean, median (graphical method only), mode (graphical method only), range, semi-interquartile range (graphical method only), standard deviation and variance
     

    ASSESSMENT CRITERION 8 
    Simple index numbers are calculated and used to deflate a series and explain the results 
    ASSESSMENT CRITERION RANGE 
    Index numbers include but are not limited to a fixed base and chain base series
     

    SPECIFIC OUTCOME 2 
    Explain and demonstrate the use of probability concepts where risk and uncertainty exist. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    Simple probabilities are calculated 

    ASSESSMENT CRITERION 2 
    Addition and multiplication rules of probability are demonstrated 

    ASSESSMENT CRITERION 3 
    Simple conditional probabilities are calculated to assess risk 

    ASSESSMENT CRITERION 4 
    Expected values are calculated and explained 

    ASSESSMENT CRITERION 5 
    Expected values are demonstrated and used in decision making process 

    ASSESSMENT CRITERION 6 
    Limitations of expected values are explained with reference to specific decisions 

    ASSESSMENT CRITERION 7 
    Normal distribution tables are used to calculate probabilities in the assessment of risk 

    SPECIFIC OUTCOME 3 
    Explain and demonstrate techniques used for forecasting based on an analysis of time series data. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    Time series graphs are prepared to identify trends and patterns in a time series data 

    ASSESSMENT CRITERION 2 
    Components of a time series model are identified with reference to a given decision problem 

    ASSESSMENT CRITERION 3 
    Trends in time series data are determined using a graph, moving average or linear regression 

    ASSESSMENT CRITERION 4 
    Forecasts are calculated using either additive or multiplicative models 

    ASSESSMENT CRITERION 5 
    Cross-correlation between pairs of a time series are estimated 

    ASSESSMENT CRITERION 6 
    The reliability of forecasts made and other seasonally adjusted values or a time series are determined and explained 

    SPECIFIC OUTCOME 4 
    Demonstrate an understanding of regression analysis as a tool of discerning economic relationships. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    Correlation coefficient between two variables is calculated and explained in the context of a given decision situation 

    ASSESSMENT CRITERION 2 
    Statistical software is used to analyse statistical data to identify and interpret key relationships existing among more than two variables 

    ASSESSMENT CRITERION 3 
    The rank correlation coefficient between two sets of data is calculated and explained 

    ASSESSMENT CRITERION 4 
    The use of regression analysis to find best fit among variables is demonstrated 

    ASSESSMENT CRITERION 5 
    Forecast values of a response (dependent) variable, given the value of a predictor, is determined 

    SPECIFIC OUTCOME 5 
    Demonstrate an understanding of statistical sampling techniques to decision situations that are dependent on limited information. 

    ASSESSMENT CRITERIA     

    ASSESSMENT CRITERION 1 
    Distinctions are made between probabilistic and non-probabilistic sampling techniques 

    ASSESSMENT CRITERION 2 
    Principles of sampling essential to the implementation of selected research methods are described with reference to the importance of sampling 

    ASSESSMENT CRITERION 3 
    Importance of sampling in decision-making is explained 


    UNIT STANDARD ACCREDITATION AND MODERATION OPTIONS 
    1. Any individual wishing to be assessed (including through RPL) against this unit standard may apply to an assessment agency, assessor or provider institution accredited by the relevant ETQA, or an ETQA that has a Memorandum of Understanding with the relevant ETQA.
    2. Anyone assessing a learner against this unit standard must be registered as an assessor with the relevant ETQA, or an ETQA that has a Memorandum of Understanding with the relevant ETQA.
    3. Any institution offering learning that will enable achievement of this unit standard or assessing this unit standard must be accredited as a provider with the relevant ETQA, or an ETQA that has a Memorandum of Understanding with the relevant ETQA.
    4. Moderation of assessment will be conducted by the relevant ETQA at its discretion. 

    UNIT STANDARD ESSENTIAL EMBEDDED KNOWLEDGE 
    The learner must demonstrate an understanding of:
  • Methods for collecting, organising and analysing statistical data
  • Statistical analysis and techniques relating to public sector
  • Forecasting
  • Probability concepts
  • Regression analysis
  • Random sampling 
    		•

    UNIT STANDARD DEVELOPMENTAL OUTCOME 
    N/A 

    UNIT STANDARD LINKAGES 
    N/A 


    Critical Cross-field Outcomes (CCFO): 

    UNIT STANDARD CCFO IDENTIFYING 
    Identify and solve problems using critical and creative thinking processes to interpret economic and financial problems utilising statistical techniques 

    UNIT STANDARD CCFO WORKING 
    Work effectively with others as a member of a team, group, organisation or community to gather statistical data 

    UNIT STANDARD CCFO ORGANISING 
    Organise and manage oneself and one's activities responsibly and effectively in order to conduct statistical analysis within job context 

    UNIT STANDARD CCFO COLLECTING 
    Collect, analyse, organize and crtically evaluate information in order to predict risk, uncertainty and forecasting trends and developments 

    UNIT STANDARD CCFO COMMUNICATING 
    Communicate effectively using visual, mathematical and/or language in the modes of oral and/or written persuasion to present statistical techniques to summarise and analyse data 

    UNIT STANDARD CCFO SCIENCE 
    Use science and technology effectively and critically, showing responsibility to the environment and health of others in obtaining statistical information 

    UNIT STANDARD CCFO DEMONSTRATING 
    Demonstrate an understanding of the world as a set of interrelated systems by recognising that statistical problem-solving contexts do not exist in isolation 

    UNIT STANDARD CCFO CONTRIBUTING 
    Participating as responsible citizens in the life of local, national and global communities by analysing statistics and integrating the principles into all spheres of life 

    UNIT STANDARD ASSESSOR CRITERIA 
    N/A 

    REREGISTRATION HISTORY 
    As per the SAQA Board decision/s at that time, this unit standard was Reregistered in 2012; 2015. 

    UNIT STANDARD NOTES 
    N/A 

    QUALIFICATIONS UTILISING THIS UNIT STANDARD: 
      ID QUALIFICATION TITLE PRE-2009 NQF LEVEL NQF LEVEL STATUS END DATE PRIMARY OR DELEGATED QA FUNCTIONARY
    Fundamental  63589   National Diploma: Geographical Information Science  Level 5  NQF Level 05  Passed the End Date -
    Status was "Reregistered"     		 2023-06-30  CETA 
    Fundamental  49554   National Diploma: Public Finance Management and Administration  Level 5  NQF Level 05  Passed the End Date -
    Status was "Reregistered"     		 2023-06-30  LG SETA 
    Elective  63689   Bachelor of Arts: Geographical Information Science  Level 6  Level TBA: Pre-2009 was L6  Passed the End Date -
    Status was "Reregistered"     		 2018-06-30   


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