9009 LG
9009 LG
Learner Guide
                   Primary Agriculture
The us e of s ta ti s ti cs
  & pr o b a b i l i t y t o
    i nv e s t i g a t e l i f e
  r e l a t e d pr o b l e m s
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                  Apply basic knowledge of statistics and probability to influence the use of data
                           and procedures in order to investigate life related problems
                  Primary Agriculture                 NQF Level 2           Unit Standard No: 9009
                                                                                                          2
Before we start…
     Dear Learner - This Learner Guide contains all the information to acquire all the
     knowledge and skills leading to the unit standard:
                       Apply basic knowledge of statistics and probability to influence the use of data and
              Title:
                       procedures in order to investigate life related problems
            US No:     9009                 NQF Level: 2                  Credits: 3
     The full unit standard will be handed to you by your facilitator. Please read the unit
     standard at your own time. Whilst reading the unit standard, make a note of your
     questions and aspects that you do not understand, and discuss it with your
     facilitator.
     This unit standard is one of the building blocks in the qualifications listed below.
     Please mark the qualification you are currently doing:
     You will also be handed a Learner Workbook. This Learner Workbook should be used
     in conjunction with this Learner Guide. This Learner Guide contains all the
     information, and more, as well as the activities that you will be expected to do
     during the course of your study. Please keep the activities that you have completed
     and include it in your Portfolio of Evidence. Your PoE will be required during your
     final assessment.
     Assessment takes place at different intervals of the learning process and includes
     various activities. Some activities will be done before the commencement of the
     program whilst others will be done during programme delivery and other after
     completion of the program.
     The assessment experience should be user friendly, transparent and fair. Should
     you feel that you have been treated unfairly, you have the right to appeal. Please
     ask your facilitator about the appeals process and make your own notes.
          The activities that follow are designed to help you gain the skills, knowledge
           and attitudes that you need in order to become competent in this learning
           module.
          It is important that you complete all the activities and worksheets, as directed
            in the learner guide and at the time indicated by the facilitator.
          When you have completed all the activities and worksheets, hand this
           workbook in to the assessor who will mark it and guide you in areas where
           additional learning might be required.
          You should not move on to the next step in the assessment process until this
           step is completed, marked and you have received feedback from the
           assessor.
          Please note that all completed activities, tasks and other items on which you
           were assessed must be kept in good order as it becomes part of your
           Portfolio of Evidence for final assessment.
                   What does it mean? Each learning field is characterized by unique terms and
                   definitions – it is important to know and use these terms and definitions correctly. These
                   terms and definitions are highlighted throughout the guide in this manner.
                   You will be requested to complete activities, which could be group activities, or individual
                   activities. Please remember to complete the activities, as the facilitator will assess it and
                   these will become part of your portfolio of evidence. Activities, whether group or individual
                   activities, will be described in this box.
My Notes …
You can use this box to jot down questions you might have, words that you do not understand,
instructions given by the facilitator or explanations given by the facilitator or any other remarks that
will help you to understand the work better.
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Paperwork to be done.............................................................. 48
Bibliography............................................................................. 49
Acknowledgements.................................................................. 50
Learning Outcomes
                   At the end of this learning module, you must is able to demonstrate a
                   basic knowledge and understanding of:
                          Methods for selecting, organizing data and calculating statistics
                          The meaning of concepts such as centre and spread
                          Techniques for representing and drawing conclusions from statistics.
My Notes …
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Session       1           T e c h n i q u e s t o or ga n i z e a n d
                          r e pr e s e n t da t a
                          After completing this session, you should be able to:
                          SO 1: Apply various techniques to organise and represent data in
                          order to model situations.
                     Number of
                                              African      Coloured          Asian        White
                      students
                   Male                            56                 45           78            12        Row
                   Female                          68                 52           62            14
                                                  124                 97          140            26
                   Total
Column
Interpretation of Data.
The interpretation of data is very simple if you are able to work through it
systematically. The most important features of data are:
     •   frequency
     •   average
     •   modus
     •   median
     •   range
     Frequency
                                3; 5; 3; 7; 5; 6; 5; 9; 5; 2; 4; 4; 5; 5; 8
     If we put this series of data in a table, then the frequency would be much
     clearer:
            Number                         Tally                        Frequency
               0                                                             0
               1                                                             0
               2                            І                                1
               3                            ІІ                               2
               4                            ІІ                               2
               5                          ІІІІ І                             6
               6                            І                                1
               7                            І                                1
               8                            І                                1
               9                            І                                1
              10                                                             0
                                                                            15
     Note: When you are using the tally system to determine the frequency, you
     will draw a line for every time something occurs, i.e. І. When it occurs four
     times, you draw four lines, i.e. І І І І, but when you reach the fifth occurrence,
     you do not draw the fifth line next to the other four, but you draw a line
     through the other our lines to show that you have reached 5, i.e. І І І І. It
     makes it much easier to count when you reach the end.
Average
Adding together all the values and then dividing it by the number of items
calculate the average of a set of data. The average is also known as the
mean.
Example:
We will use our previous set of data:
                   3; 5; 3; 7; 5; 6; 5; 9; 5; 2; 4; 4; 5; 5; 8
To calculate the average, we first add together all the values:
 3 + 5 + 3 + 7 + 5 + 6 + 5 + 9 + 5 + 2 + 4 + 4 + 5 + 5 + 8 = 126
Then we count how many items are there, i.e. 15
3, 5; 3; 7, 5; 6; 5; 9; 5; 2, 4, 4, 5, 5, 8 126
                                                                                               Number
1    2      3     4        5    6    7     8     9        10    11   12    13    14       15
                                                                                               of Items
Mode
The mode is the number that occurs most frequently in the series of data. In
the series of data below, the mode is 5.
3; 5; 3; 7; 5; 6; 5; 9; 5; 2; 4; 4; 5; 5; 8
Median
The median in a series of data is the number that is exactly in the middle, or
halfway between two numbers in the middle.
Example:
2; 3; 3; 4; 4; 5; 5; 5; 5; 5; 5; 6; 7; 8; 9
Range
     The range is the difference between the highest number and the lowest
     number in a set of data.
     The range in the set of data we have been using as an example will be as
     follows:
=9–2
=7
Frequency table
A frequency table is the diagram that shows the number of times a particular
incident took place.
Example:
15
Now we have a better idea of what the answers to the questions may be:
   1. Which percentage appears most frequently? Between 61% and 70%
   2. Which percentage appears least frequently? Between 0% and 20%
                                                                    3
   3. How many learners scored more than 80%?                           /15
                                                                    5
   4. How many learners scored less than 50%?                           /15
This information can now be used by the facilitator for various purposes, i.e.
     •   A third of the class got less than 50%. Do these learners need more
         support?
     •   The average learner can be expected to score between 61% and 70% for
         this learning assessment.
Stem-and-Leaf table
A stem-and-leaf method is similar to tally counting. Instead of using tallies, the
given data is divided (by a vertical line) into stems on the left and leaves on the
right.
Example:
49 38 31 27 20 48 37 31
23 41 33 10 15 34 22 35
21 39 31 27 20 19 35 26
The first digit forms the stem and the second digit the leaf.
 1         0; 5; 9;                                             3
 2         0; 0; 1; 2; 3; 6; 7; 7;                              8
 3         1; 1; 1; 3; 4; 5; 5; 7; 8; 9;                        10
 4         1; 8; 9;                                             3
                                      24
1.2   Graphs
      Graphs are visual representations of what is written in a data table. There are many
      types of graphs that we can use and it usually depends on what you need to
      represent and to whom the representation is made.
Example
                                                                   70
           60
                                                                   60
           50
                                                                   50
           40
                                                                   40
           30
                                                                   30
20 20
10 10
            0                                                      0
                                                                                        1
                Plant 1   Plant 2      Plant 3    Plant 4
70
60
50
40
30
20
10
                                                                    0
                                                                        Plant 1   Plant 2    Plant 3   Plant 4
Pictograms
Pictograms are graphs that show us data by using identical pictures instead of
figures and lines.
Example
Susie has counted how many telephone calls the people in her department make
during the day. This is the data she has collected:
                         08:00 –              10:00 –                                    14:00 –
    Name                                                  12:00 – 14:00                                Total
                          10:00                12:00                                      16:00
  Janie                            15               16                     17                     15     63
  Henry                            13               14                       1                    16     77
  Thea                             12               11                     12                     12     47
  Malvin                           13               10                     13                     13     49
  Thys                             11               12                     11                     10     44
She decides to draw up a pictogram to show the data she has collected. First she
rounds off the number of phone calls to the nearest ten:
          Name               Total              Rounded off
Janie 63 60
Henry 77 80
Thea 47 50
Malvin 49 50
Thys 44 40
  Janie                  §§§§§§
  Henry                  §§§§§§§§
  Thea                   §§§§§
  Malvin                 §§§§§
  Thys                   §§§§
The pictogram shows the number of telephone calls made in a visual and graphic
way.
The difference between the bar graph and the histogram is that when we draw a
histogram, we do not leave spaces between the columns as with the bar graph.
(Learning tip: the words bar graph have a space. Bar graphs have spaces. The word
histogram has no space, the actual graph has no spaces.)
Bar graphs are used when the data classes are not continuous e.g. in comparing
the annual yield of carrots, tomatoes and potatoes of a vegetable farm. There is no
intermediate between carrots and tomatoes. The classes are different from each
other.
                           800
                           600
          litres of fuel
                           400
                           200
                             0
                                   tractor       truck             bakkie            car
                                                         vehicle
Histograms are used if the data classes are continuous. For example, a farmer
wants to see how many tons of carrots a certain field produced per year from 2000
to 2006. There are no spaces between the bas, because 2000 borders on 2001.
Time is continuous. He could also use a line graph.
Example of a histogram:
The same farmer wants to compare the amount of fuel used by his tractor each
month from January to June.
                      800                                                  Jan
     Litres of fuel
                      600                                                  Feb
                                                                           March
                      400
                                                                           April
                      200                                                  May
                        0                                                  June
                                              month
The owner of SUPERVEG has collected the following statistic with regards to the age
of the workers.
24 56 45 32 45 65 21 34 23 26
38 26 39 40 51 36 25 39 27 52
43 61 55 63 25 26 34 26 25 36
39 44 36 45 54 38 31 29 22 34
            15
                                                            21 - 30
frequency
            10                                              31 - 40
                                                            41 - 50
            5                                               51 - 60
                                                            61 - 70
            0
Age classes
Pie Graphs
 Pie graphs are graphs that represent the data as segments of a circle. The various
 data will take up a certain angle of the total angles in a circle (360º).
Example
Frequency Table
 Public
                  IIII IIII IIII IIII IIII IIII IIII IIII IIII IIII                          50
 Phone
148
Janet now calculates the percentage and the segment of 360º that she will use to
draw up the pie graph:
Calculation table
Telephone Access
                                                Home
                                                22%
                         Public
                         34%
                                                 Cell
                                  None           28%
                                  16%
If you measure the angles of the different segments, you will find that they are
exactly as worked out in the calculation table.
Example
      At WITWAT Manufacturing, the production manager has collected data with regards
      to the temperature at which a certain machine runs over a 12 hour period.
                                  Broken Line Graph of Machine Temperature
108
107
106
105
104
103
102
101
100
99
98
97
96
95
94
93
92
91
90
       06:00
07:00
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
      If the production manager wants to see what the temperature on the machine was
      at different times, then he can read it from the graph, i.e.:
               •            At 09:00 the temperature of the machine was 102º
               •            At 11:30 the temperature of the machine was 105º
               •            At 17:30 the temperature of the machine was 100º
      He can also read the following information from the graph:
               •            at what time the machine is running at the highest temperature
               •            at what time the machine is running at the lowest temperature
               •            at what time the machine if running at 100º, etc.
1.3   Probability
      Probability is the possibility or chance that something might occur.
      We work out probability by dividing the number of successful outcomes by the total
      number of possible outcomes.
Example
      Every Saturday night we watch the lotto and the winner of the game show gets to
      draw a ball from a variety of balls in a round canister. We want to work out what
      the probability is of the winner drawing the red ball, which will make him the winner
      of a car.
First we have to find out how many balls are in the canister:
      5 green balls
      6 yellow balls
                                                                 5
              Probability (Green ball)                 =          /12
                                                                 6
              Probability (Yellow ball)                =          /12
                                                       1
              Probability (Red ball)           =        /12
           1
                                 Individual Activity:                   My Name:
                                 Answer the questions                   .......................
                                 below                                  My Workplace:
                                                                        ......................
          SO 1                                                          My ID Number:
1. The weather Bureau collected data from 25 weather stations in the Free State area
   concerning the number of hours of bright sunshine during January and June 2005.
    a)    Draw up a frequency table (tally format) for both January and June. Use the class
          intervals 100 – 109, 110-119 etc
d) What can you conclude if you compare the two modal classes calculated
above? ……………………………………………………………………………………………………
g)   What conclusion can you reach if you compare the ranges calculated in f)? Is
     your conclusion the same as the conclusion that you reached in d)?
……………………………………………………………………………………………………………………
………………………………………………………………………………………………………………….
……………………………………………………………………………………………………………………
………………………………………………………………………………………………………………...
2. A farmer kept count of the number of litres of milk his cows produced per day.
35, 47, 34, 46, 62, 41, 35, 47, 51, 56, 73, 38, 41, 44, 51, 45, 74
      2
                           Individual Activity:                    My Name:
                           Answer the questions                    .......................
                           below                                   My Workplace:
                                                                   ......................
      SO 1                                                         My ID Number:
     61   43      92        78      94       66       63           59      29       82
     39   68      89        95      96       45       48           49      35       54
     69   84      83        85      74       73       83           59      74       72
     85   36      25        63      63       83       40           54      67       84
B C
3.   There are 52 playing cards in a pack of cards. What is the probability that the
     first card to be drawn is ...........
     a.   a queen
          ………………………………………………………………………………………………………..
     b.   an Ace
          ………………………………………………………………………………………………………..
     c.   a heart
          ………………………………………………………………………………………………………..
     d.   the king of clubs
          ………………………………………………………………………………………………………..
My Notes …
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Session    2             Im p l i c a t i on s r e s u l t i n g f r om
                         mod e l e d d a t a
                         After completing this session, you should be able to:
                         SO 2: Give opinions on the implications of the modelled
                         data for the required purpose.
          Trends
          Often we can determine the relationship between the data we have and the
          events that occur.
Example
          Rebecca has a small spaza shop in her community. She sells the usual
          things such as bread, milk, cigarettes and sweets. One of the things that
          she sells is ice cream. When it is hot, she sells more ice cream than when it
          is cold. She decides to find out if there is a relationship between her ice-
          cream sales and the temperature.
          Rebecca carefully follows the weather report everyday and then records her
          sales of ice-cream for the day – Rebecca’s shop is not open on a Sunday.
              Week 1            Mo      Tu       We         Th          Fr       Sa
             Temp                30      32       28        25          29        31
             Weather            Sun     Sun      Sun       Rain        Sun       Sun
             Ice-                15      20       12         6          16        25
             cream
              Week 2            Mo      Tu        We        Th          Fr       Sa
             Temp                22     20         23        25         27        30
             Weather            Rain   Rain       Rain      Sun        Sun       Sun
             Ice-                3       0         3         5          9         22
             cream
              Week 3            Mo     Tu         We        Th          Fr       Sa
             Temp                33     32         33        31         30        29
             Weather            Sun    Sun        Sun       Sun        Sun       Sun
             Ice-                20     19         22        23         25        28
             cream
              Week 4            Mo      Tu       We          Th         Fr       Sa
             Temp                25     23        20         18         18        25
             Weather            Rain   Rain      Rain       Rain       Rain      Sun
             Ice-                5       4        2           0         0         11
             cream
35
30
25
20
15
10
    0
                        Temp                                  Ice-cream
                                               Ice-
                                   Temp
                                              cream
                   Mo               30          15
                   Tu               32          20
                   We               28          12
                   Th               25           6
                   Fr               29          16
                   Sa               31          25
                   Mo               22           3
                   Tu               20           0
                   We               23           3
                   Th               25           5
                   Fr               27           9
                   Sa               30          22
                   Mo               33          20
                   Tu               32          19
                   We               33          22
                   Th               31          23
                   Fr               30          25
                   Sa               29          28
                   Mo               25           5
                   Tu               23           4
                   We               20           2
                   Th               18           0
                   Fr               18           0
                   Sa               25          11
The histogram looks confusing and she decides to redo the data on a
broken line graph:
35
30
25
  20                                                                                      Temp
  15                                                                                      Ice-cream
10
   0
            e
                                                                 e
    o
                                                            o
                 Fr
Fr
Fr
                                                                        Fr
   M
                                                           M
        W
                                                                W
The broken line graph shows the similarity between the temperature and
the ice-cream sales. If you look at the temperature line, you can see that
on the first Thursday the temperature was about 25º and on this Thursday
Rebecca sold only 6 ice-creams. However, on the first Saturday the
temperature was 31º and she sold 25 ice creams.
You can see a similar curve in the ice-cream sales line as in the temperature
line. Rebecca should hope for hot sunny days to improve her ice-cream
sales.
        •       the hotter the temperature, the more the ice-cream that is sold
        •       the cooler the temperature, the less the ice-cream that is sold
        •       on a sunny day Rebecca sells more ice-cream
        •       on a rainy day Rebecca sells less ice-cream
Rebecca can take this information a step further. She can look at what the average
price of her ice-creams are, i.e.
        •       suckers                           R2.00
        •       chocolate ice-cream R3.50
        •       cones                             R5.00
        Average =                (2 +3,5 + 5) ÷ 3
                                                  =         10,5 ÷ 3
                                                  =         R3.50
          She can now work out how much money she brings in with her ice-cream sales
          alone:
                                                    Ice-creams sold
            Week 1:                15           + 20               + 12            +6              +16             25               = 94
            Week 2:                3            +0                 +3              +5              +9              + 22             = 42
            Week 3:                20           + 19               + 22            + 23            + 25            + 28             = 137
            Week 4:                5            +4                 +2              +0              +0              + 11             = 22
                                                                                                                                    = 295
Rebecca can now calculate her income from ice-cream sales for this month:
= R1 032.50
          Should Rebecca do this over a period of 12 months, she is able to plan ahead for her
          business.
My Notes …
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Example
Rebecca has summarized her monthly data for the past 12 months as follows:
         350
         300
         250
         200
         150
         100
          50
           0
               Jan    Feb       March April   May    June   July   Aug     Sept    Oct   Nov     Dec
Rebecca can see that over a period of one year, she sells more ice-cream in
summer, when it is hot, than in winter, when it is cold. She will therefore plan her
stock accordingly.
     3
                            Individual activity:                    My Name:
                            Complete the questions                  .......................
                            below                                   My Workplace:
                                                                    .......................
     SO 2                                                           My ID Number:
1.   The pictograph below shows the number of hours of sunshine per month in
     1998 from January to June in Cape Town.
          Jan
          Feb
          March
          April
          May
          June
= 1 Hr
2.   In this bar graph the highest daily temperature for one week in a town is
     shown.
                    35
                    30
                    25
     Temperature in 20
       Degrees C    15
                    10
                     5
                     0
                                Mon    Tue       Wed       Thurs      Fri      Sat          Sun
                                                  Days of the week
3.    This graph shows the number of baskets of tea leaves harvested in one week
      by various workers.
John
Peter
Jack
Paul
Ben
             0        10           20    30         40         50         60        70           80   90
                                                 Marks achieved
4.                    The graph underneath shows the amount of rainfall in a certain area from
                      Monday to Saturday.
60
                      50
     Rainfall in mm
40
30
20
10
                       0
                               Mon           Tue       Wed         Thurs            Fri         Sat          Sun
                                                           Days of the Week
        5.     The following stem-and-leaf diagram shows the total number of points scored
               in a series of basketball games.
         160                   2
         170                   1
         180                   2,   7
         190                   5,   7, 2
         200                   9,   4, 8, 0
         210                   5,   9, 7, 0, 3, 3
         220                   4,   9
My Notes …
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1. To what extent did you apply and adapt generic information you learned in
   this module to your specific outlet in your work experience? Discuss and
   describe.
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3. Did the practical experience on-site make you want o adjust the theory you
   learned? If so, what would you adjust and how would this change what you
   would to in the future?
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Comments / Remarks
Assessor’s Signature:
                                                                         Date:
                                                                                                        2. I
                                                                                             1. I am
                                           Questions                                                    am
                                                                                               sure
                                                                                                       unsure
Question 1
             65       72         54         58     67        92        74        77
             83       68         73         81
             70       95         56         74     85        66        93        60
             78       60         82         77
76 85 59 71
Question 2
Question 3
 Test no.      1           2          3        4            5             6         7
    %
 obtained
              52           67       74         60           74         85          94
Question 4
       a)    Six.
       b)    Four
       c)    And even number.
       d)    A number larger than 4.
           The assessor will complete a checklist that gives details of the points that are
           checked and assessed by the assessor.
           The assessor will write commentary and feedback on that checklist. They will
           discuss all commentary and feedback with you.
           You will be asked to give your own feedback and to sign this document.
           It will be placed together with this completed guide in a file as part
           of you portfolio of evidence.
           The assessor will give you feedback on the test and guide you if there are
           areas in which you still need further development.
                           Version: 01         Version Date: July 2006
                           Apply basic knowledge of statistics and probability to influence the use of data
                                    and procedures in order to investigate life related problems
                           Primary Agriculture               NQF Level 2            Unit Standard No: 9009
                                                                                                                  48
Paperwork to be done …
Please assist the assessor by filling in this form and then sign as instructed.
Program Date(s)
Assessment Date(s)
Surname
First Name
              Learner ID / SETA
              Registration
              Number
Home Language
Date of Birth
ID Number
              Contact Telephone
              Numbers
Email Address
                                                                                           Signature:
              Postal Address
Bibliography
      Books:
        Gray, D.E, 2004. Doing research in the real world. Sage . London.
        ‘Life skills’ by Edna Rooth
Acknowledgements
       Project Management:
    M H Chalken Consulting
    IMPETUS Consulting and Skills Development
Donors:
       Authenticator:
    Ms C Almeida
       Technical Editing:
    Ms C Almeida
       OBE Formatting:
    Ms B Enslin
       Design:
     Didactical Design SA (Pty) Ltd
       Layout:
    Ms S Mallick
       Apply basic knowledge of statistics and probability to influence the use of data and
                    procedures in order to investigate life related problems
The ability to voice a critical sensitivity to the role of mathematics in a democratic society and so become a
participating citizen
Apply various techniques to organise and represent data in order to model situations for specific purposes.
Give opinions on the implications of the modelled data for the required purpose.
SPECIFIC OUTCOME 1
Apply various techniques to organise and represent data in order to model situations.
OUTCOME NOTES
Apply various techniques to organise and represent data in order to model situations for specific purposes.
OUTCOME RANGE
Techniques include:
Using a variety of methods to represent statistics including pie charts, bar graphs, stem and leaf plots;
Reading tables (e. g., the meaning of row and column headings and the relationship between age by
gender by province);
Extracting a suitable set of data from tables and databases (e. g., census data, tables in newspapers, HIV
data; weather data);
Calculating measures of centre and spread such as mean, median, mode, and range; the use of
Quartiles in classifying data items ("Measures of centre and spread" should be handled via examples, which
are directly related to the life or work
experiences of each learner. For example workers` wages and learners` test scores).
ASSESSMENT CRITERIA
ASSESSMENT CRITERION 1
1. Questions about sets of data that can be dealt with through statistical methods are identified correctly.
ASSESSMENT CRITERION 2
2. Existing tables are understood correctly through a proper application of row and column headings.
ASSESSMENT CRITERION 3
3. Raw data or statistics in the body of tables are used correctly.
ASSESSMENT CRITERION 4
4. Effective methods to record and organise data are used to solve problems.
ASSESSMENT CRITERION 5
5. Calculations of statistics are correct.
ASSESSMENT CRITERION 6
6. Appropriate statistics are used to answer questions.
ASSESSMENT CRITERION 7
7. Scales used in graphical representations and tables are consistent with the data, are correct, clear and
appropriate to the situation and target audience.
SPECIFIC OUTCOME 2
Give opinions on the implications of the modelled data for the required purpose.
OUTCOME RANGE
Purposes include:
Identifying relevant characteristics of target groups such as age range, gender, socio-economic group,
cultural belief, and performance;
Considering the attitudes or opinions of people on current issues relevant to the life experience of the
learners;
ASSESSMENT CRITERIA
ASSESSMENT CRITERION 1
1. Verbal (written or oral) explanation of findings is based on the representation of the data.
ASSESSMENT CRITERION 2
2. Trends, group profiles and attitudes are justified.
ASSESSMENT CRITERION 3
3. Appropriate information is extracted from representations in order to answer questions.
Moderation Option:
The moderation requirements of the GENFETQA must be met in order to award credit to learners for this
unit standard.
Focus the assessment activities on gathering evidence in terms of the main outcome expressed in the title
to ensure assessment is integrated rather than fragmented. Remember we want to declare the person
competent in terms of the title. Where assessment at title level is unmanageable, then focus assessment
around each specific outcome, or groups of specific outcomes.
Make sure evidence is gathered across the entire range, wherever it applies. Assessment activities should
be as close to the real performance as possible, and where simulations or role-plays are used, there should
be supporting
evidence to show the candidate is able to perform in the real situation.
Do not focus the assessment activities on each assessment criterion. Rather make sure the assessment
activities focus on outcomes and are sufficient to enable evidence to be gathered around all the
assessment criteria.
The assessment criteria provide the specifications against which assessment judgements should be made.
In most cases, knowledge can be inferred from the quality of the performances, but in other cases,
knowledge and understanding will have to be tested through questioning techniques. Where this is
required, there will be assessment criteria to specify the standard required.
The task of the assessor is to gather sufficient evidence, of the prescribed type and quality, as specified in
this unit standard, that the candidate can achieve the outcomes again and again and again. This means
assessors will have to judge how many repeat performances are required before they believe the
performance is reproducible.
All assessments should be conducted in line with the following well-documented principles of assessment:
appropriateness, fairness, manageability, and integration into work or learning, validity, direct, authentic,
sufficient, systematic, open and consistent.
All qualifications and unit standards 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.