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SOUTH AFRICAN QUALIFICATIONS AUTHORITY 
REGISTERED UNIT STANDARD: 

Apply elementary statistical methods 
SAQA US ID UNIT STANDARD TITLE
242714  Apply elementary statistical methods 
ORIGINATOR
SGB Forensic Science 
PRIMARY OR DELEGATED QUALITY ASSURANCE FUNCTIONARY
-  
FIELD SUBFIELD
Field 08 - Law, Military Science and Security Safety in Society 
ABET BAND UNIT STANDARD TYPE PRE-2009 NQF LEVEL NQF LEVEL CREDITS
Undefined  Regular  Level 5  Level TBA: Pre-2009 was L5 
REGISTRATION STATUS REGISTRATION START DATE REGISTRATION END DATE SAQA DECISION NUMBER
Reregistered  2015-07-01  2018-06-30  SAQA 10105/14 
LAST DATE FOR ENROLMENT LAST DATE FOR ACHIEVEMENT
2019-06-30   2022-06-30  

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 
This unit standard is intended for learners in the field of forensic science who use elementary statistical concepts. Statistical calculations and formulae are used within the forensic science field to determine and support findings. This unit standard will enable a learner to use elementary concepts in the contextualised field of forensic science as a means to an end when determining certain findings.

A person accredited with this unit standard will be able to:
  • Explain the use of statistical variables.
  • Use elementary statistical methods. 

  • LEARNING ASSUMED TO BE IN PLACE AND RECOGNITION OF PRIOR LEARNING 
  • Mathematics at NQF Level 4. 

  • UNIT STANDARD RANGE 
    When reference is made to statistical concepts in this unit standard it must include, but is not limited to: proportion, percentage, mean, median, mode, percentiles, range, variance and standard deviation. 

    Specific Outcomes and Assessment Criteria: 

    SPECIFIC OUTCOME 1 
    Explain the use of statistical variables. 

    ASSESSMENT CRITERIA
     

    ASSESSMENT CRITERION 1 
    Types of statistical variables are explained according to their uses. 
    ASSESSMENT CRITERION RANGE 
    Types of variables must include, but are not limited to: ordinal, nominal, interval, and ratio.
     

    ASSESSMENT CRITERION 2 
    Quantitative and qualitative datasets are distinguished with examples. 

    ASSESSMENT CRITERION 3 
    Descriptive statistics are defined using examples. 
    ASSESSMENT CRITERION RANGE 
    Examples should include, but are not limited to: mean, median, mode, range, variance, standard deviation, standard error, confidence intervals, parametric and non-parametric statistics.
     

    SPECIFIC OUTCOME 2 
    Demonstrate the use of elementary statistical methods. 
    OUTCOME RANGE 
    Elementary methods refer to frequency distribution statistical methods. 

    ASSESSMENT CRITERIA
     

    ASSESSMENT CRITERION 1 
    Datasets are analysed in order to select a statistical method. 
    ASSESSMENT CRITERION RANGE 
    Datasets must include both quantitative and qualitative datasets.
     

    ASSESSMENT CRITERION 2 
    Calculations are performed in order to assess the distribution of datasets. 
    ASSESSMENT CRITERION RANGE 
    Calculations must include, but are not limited to: Shapiro-Wilks, and Bartlett tests.
     

    ASSESSMENT CRITERION 3 
    Graphical methods are used to represent datasets. 
    ASSESSMENT CRITERION RANGE 
    Methods include, but are not limited to: bar charts/histograms, pie charts, scatter diagrams, box and whisker plots.
     


    UNIT STANDARD ACCREDITATION AND MODERATION OPTIONS 
  • Any individual who wishes to be assessed against this unit standard (including assessment of RPL) may apply to an assessment agency, assessor or provider institution accredited by the relevant ETQA, or with an ETQA that has a Memorandum of Understanding with the relevant ETQA.
  • Anyone assessing a learner against this unit standard must be registered as an assessor with the relevant ETQA, or with an ETQA that has a Memorandum of Understanding with the relevant ETQA. Assessors must be competent in the outcome of the Unit Standard.
  • 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 with an ETQA that has a Memorandum of Understanding with the relevant ETQA.
  • Moderation of assessment will be conducted by the relevant ETQA according to the moderation guidelines in the relevant qualification and the relevant ETQA procedures. 

  • UNIT STANDARD ESSENTIAL EMBEDDED KNOWLEDGE 
  • Sampling and data collection.
  • Distributions.
  • Assumptions on which statistical results are based.
  • Mathematical principles used in statistical calculations.
  • Numerical data. 

  • UNIT STANDARD DEVELOPMENTAL OUTCOME 
    N/A 

    UNIT STANDARD LINKAGES 
    N/A 


    Critical Cross-field Outcomes (CCFO): 

    UNIT STANDARD CCFO IDENTIFYING 
    Identify and solve problems in which responses display that responsible decisions, using critical thinking, have been made. 

    UNIT STANDARD CCFO WORKING 
    Work effectively with others as a member of a team, group, organisation or community. 

    UNIT STANDARD CCFO ORGANISING 
    Organise and manage oneself and one's activities responsibly and effectively. 

    UNIT STANDARD CCFO COLLECTING 
    Collect, analyse, organise and critically evaluate information. 

    UNIT STANDARD CCFO COMMUNICATING 
    Communicate effectively using visual, mathematical, and/or language skills in the modes of written and/or oral presentation. 

    UNIT STANDARD CCFO SCIENCE 
    Use science and technology effectively and critically, show responsibility towards the environment and the health of others. 

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

    UNIT STANDARD CCFO CONTRIBUTING 
    Contribute to the full personal development of each learner and the social and economic development of the society at large, by making it the underlying intention of any programme of learning to make an individual aware of the importance of:
  • Reflecting on and exploring a variety of strategies to learn more effectively.
  • Participating as responsible citizens in the life of local, national and global communities.
  • Being culturally and aesthetically sensitive across a range of social contexts. 

  • 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 
    Glossary of terminology:
  • Bartlett test: Parametric test that describes the similarity of the distribution of the data around a central point (mean) between two or more groups.
  • Confidence interval: Defines a range within which the true mean value for the entire population will fall based on a sample that was drawn from the population.
  • Interval: Two defined cut-off points between which a value could possibly fall.
  • Mean: Central tendency statistic which consists of the average value of a set of normally distributed data points.
  • Median: Central tendency statistic which consists of the value within a set of data points beneath which 50% of the other values fall.
  • Mode: Central tendency statistic which consists of the value that occurs most frequently in a set of data points.
  • Nominal variable: A variable which consists of different categories which cannot be ranked.
  • Non-parametric: No assumption is made about the distribution of a dataset.
  • Ordinal variable: A variable which consists of different categories which can be ranked i.e. one category can be "greater than" or "less than" another category.
  • Parametric: Assumes that the distribution of a dataset follows a specific distribution model, generally, a normal or Gaussian distribution.
  • Range: The difference between two defined cut-off points of an interval.
  • Ratio: A mathematical measure of the linear relationship between two values by dividing one value by another e.g. ratio of x to y = x / y.
  • Shapiro-Wilks Test: A statistical test for determining if a dataset is normally distributed.
  • Standard deviation: Parametric measure of the dispersion of data points around the mean.
  • Standard error: Parametric measure of how close a sample mean is to the true population mean.
  • Variance: Similar to standard deviation as it is a measure of the dispersion of values around the mean. 

  • QUALIFICATIONS UTILISING THIS UNIT STANDARD: 
      ID QUALIFICATION TITLE PRE-2009 NQF LEVEL NQF LEVEL STATUS END DATE PRIMARY OR DELEGATED QA FUNCTIONARY
    Core  65649   National Certificate: Official Statistics  Level 5  Level TBA: Pre-2009 was L5  Reregistered  2018-06-30  PSETA 
    Fundamental  57651   National Certificate: Forensic Science  Level 5  Level TBA: Pre-2009 was L5  Reregistered  2018-06-30  SAS SETA 
    Fundamental  58600   National Certificate: Land Transport Planning  Level 5  Level TBA: Pre-2009 was L5  Passed the End Date -
    Status was "Reregistered" 
    2012-06-30  LG SETA 
    Fundamental  63589   National Diploma: Geographical Information Science  Level 5  NQF Level 05  Reregistered  2018-06-30  CETA 
    Fundamental  58784   National Diploma: Geospatial Image Analysis  Level 5  NQF Level 05  Reregistered  2018-06-30  As per Learning Programmes recorded against this Qual 
    Elective  59258   National Certificate: Polygraphy  Level 5  Level TBA: Pre-2009 was L5  Reregistered  2018-06-30  SAS SETA 
    Elective  63689   Bachelor of Arts: Geographical Information Science  Level 6  Level TBA: Pre-2009 was L6  Reregistered  2018-06-30   


    PROVIDERS CURRENTLY ACCREDITED TO OFFER THIS UNIT STANDARD: 
    This information shows the current accreditations (i.e. those not past their accreditation end dates), and is the most complete record available to SAQA as of today. Some Primary or Delegated Quality Assurance Functionaries have a lag in their recording systems for provider accreditation, in turn leading to a lag in notifying SAQA of all the providers that they have accredited to offer qualifications and unit standards, as well as any extensions to accreditation end dates. The relevant Primary or Delegated Quality Assurance Functionary should be notified if a record appears to be missing from here.
     
    1. Boikgantsho Consulting & Events 
    2. Nhlahle Development Agency 



    All qualifications and part qualifications registered on the National Qualifications Framework are public property. Thus the only payment that can be made for them is for service and reproduction. It is illegal to sell this material for profit. If the material is reproduced or quoted, the South African Qualifications Authority (SAQA) should be acknowledged as the source.