9015 - Learner WorkBook
9015 - Learner WorkBook
LEARNER WORKBOOK
APPLY KNOWLEDGE OF STATISTICS AND
PROBABILITY TO CRITICALLY
INTERROGATE AND EFFECTIVELY
COMMUNICATE FINDINGS ON LIFE
RELATED PROBLEMS
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Learner Information:
Details Please Complete this Section
Name & Surname:
Organisation:
Unit/Dept:
Facilitator Name:
Date Started:
Date of Completion:
Copyright
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OVERVIEW
About the This Learner Exercise Workbook has been designed and
Learner developed to evaluate learners’ level of understanding of
Workbook the APPLY KNOWLEDGE OF STATISTICS AND
PROBABILITY TO CRITICALLY INTERROGATE AND
EFFECTIVELY COMMUNICATE FINDINGS ON LIFE
RELATED PROBLEMS.
It forms part of a series of Learner Workbooks that have
been developed for
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Instructions Facilitators will be required to:
to Explain the completion of the workbook to each
Facilitators learner; and
Interview the learner on similar questions, should
he/she not be able to write.
Instructions Learners will be required to:
to Learners Complete the workbook as per the instructions;
Ensure that all questions are completed;
Ensure that the completion of the workbook is their
own work;
Ensure that all annexure are attached to the
workbook and clearly referred to;
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GENERAL INFORMATION
LEARNER DETAILS
Learner Full
Names
Learner ID No.:
Organisation:
Unit/Dept:
Contact Details: Telephone /Cell Email Address:
Numbers:
WORKSHOP DETAILS
Workshop
Venue:
Facilitator
Name:
Date Started:
Date Completed:
DESCRIPTION YE NO COMMENTS/
S CONTINGENCY
This assessment is a formative assessment and it is
based on the outlined unit standard/s for the Apply
knowledge of statistics and probability to
critically interrogate and effectively
communicate findings on life related problems
module.
Your assessment evidence for Apply knowledge of
statistics and probability to critically
interrogate and effectively communicate
findings on life related problems module needs
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to be submitted on....... (day) of...............
(month)...........(year) at the following
address/place...............................................................
.
You will be assessed based on the outlined Unit
Standards. The assessment activities are linked to
specific outcomes/assessment criteria of the outlined
Unit Standards.
To determine your competence level, the following
are the methods to be used for this assessment:
1. .....................................................
2. .....................................................
To be declared competent on Apply knowledge of
statistics and probability to critically
interrogate and effectively communicate
findings on life related problems module
(formative assessment), you should have obtained at
least 80% of the total mark of this assessment.
You will be provided with detailed feedback on your
performance of this assessment as follows:
1. Written Feedback
2. Verbal Feedback
Should you be declared “not yet competent” on this
assessment, you will be entitled for re-assessment
opportunity/ies.
You will be required to re-submit evidence (only for
areas) you were declared not yet competent. A date
for re-submission will be agreed with the assessor.
You will be entitled to lodge an appeal should you not
be satisfied with the assessment decision of your
assessment.
You will be required to provide the assessor feedback
on assessment procedure – this is to assist in
improving the assessment practices.
Your results of assessment and portfolio of evidence
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information will not be provided to any person
without your written consent.
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Learner’s Declaration
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Apply knowledge of statistics and
Learning Unit 1
probability to critically interrogate
and effectively communicate
findings on life related problems
The credit value is based on the assumption that people starting to learn towards this unit
standard al-e competent in Mathematical Literacy and Communications at NQF level 3.
Activities
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Situation/issue Type of Statistics
1.2 Explain how forecasting plays a role in your business unit and organisation:
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2. Read the following article written by the statistician-general of SA,
and then answer the questions that follow:
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For example, each month Stats SA releases data on civil cases for debt. This
survey, which covers a sample of magistrates' offices, collects information
regarding civil cases recorded, civil summonses issued and civil judgments
recorded.
Its provides information on the extent of unpaid debt in South Africa, which is used
by the private and public sectors as an indicator of economic performance.
Each month the survey covers the number of civil cases recorded; the number of
civil summonses issued for debt; the number of civil judgments recorded for debt;
and the value of civil judgments recorded for debt.
The most recent data released in this series reports on three periods: the month of
March 2005; change over the period March 2004 to March 2005; and change
between the first quarter of 2004 compared with the first quarter of 2005.
In most areas monitored there was a decrease in the indicators of debt. The total
number of civil summonses issued for debt in the first quarter of 2005 decreased by
16.4 percent compared with the first quarter of 2004.
The big contributors to this decrease were summonses issued in respect of money
lent (down 6 percentage points), promissory notes (down 2.3 percentage points),
"other" services (down 2.3 percentage points), goods sold on open account (down
1.7 percentage points) "other" debts (down 1.7 percentage points) and rent (down
1.4 percentage points).
Following this pattern, the total number of civil judgments recorded for debt for the
first quarter of 2005 decreased by 15.8 percent compared with the first quarter of
2004.
The contributors to this decrease were civil judgments in respect of money lent
(down 5.1 percentage points), promissory notes (down 2.4 percentage points), rent
(down 2.2 percentage points), and "other" debts (down 1.8 percentage points).
The total value of civil judgments recorded for debt for the first quarter of 2005
decreased by 5.3 percent compared with the first quarter of 2004.
The major contributors to this decrease were civil judgments recorded in respect of
promissory notes (down 4.1 percentage points) and "other" debts (down 2
percentage points).
However, this decrease was slightly counteracted by an increase in civil judgments
recorded in respect of professional services (1 percentage point).
Turning to the month of March this year, 65 406 civil judgments for debt amounting
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to R521 million were recorded.
The largest contributors to this amount were civil judgments relating to money lent
(R155.3 million, or 29.8 percent), "other" debts (R135 million, or 25.9 percent) and
promissory notes (R77.4 million, or 14.9 percent). During this month, 108 302 new
civil summonses for debt were issued.
Comparative data released as at March 2005 show a decline in the number of civil
summonses issued for debt between March 2001 and March 2005. Peaking in
December 2002 at over 159 000, the March 2005 figure has fallen to just over 108
000.
The number of civil judgments recorded for debt reached a high of approximately
105 000 in mid-2003, falling to approximately 65 400 in March 2005.
Today Stats SA releases the latest data on civil cases for debt, which will reflect
the position as at April 2005. Although a lesser-known indicator of trends in the
economy, this monthly release provides important insights into economic
performance.
PaliLehohla is the statistician-general and head of Statistics SA. For more
information on Stats SA and its outputs, including the latest statistics of civil cases
for debt, visit www.statssa.gov.za, or contact user services on (012) 310-8600
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2.1 Explain what is meant by a “trend” (paragraph 1):
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2.2 What “trend” has been identified by Stats SA according to this article?
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2.3 Explain what is meant by a “series” (paragraph 5). Refer specifically to the
series mentioned in the article:
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2.4 List the indicators of debt mentioned in the article:
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2.5 Explain the difference between a census and a sample:
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2.6 You want to undertake a statistical study of absenteeism in your company.
Would you take a census or a sample? Give reasons for your answer.
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2.7 In order to collect a representative sample from your team/ business unit,
how many members would you have to survey? Explain how you arrived at that
figure.
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2.8 In order to collect a representative sample from your company, how many
employees would you have to survey? Explain how you arrived at that figure.
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3.1 Group work (30 minutes):
Choose a topic that relates to your class, e.g. you want to determine the number of
people who are in favour of abortion among the class members, or the number of
happily married learners, or the education level of the learners in the class, in fact,
any topic of your choice. Draw up a questionnaire using the dichotomous key
(about five sets of questions), do a quick survey and present your findings to the
class:
Topic:
Questionnaire:
B.
2.
A.
B.
3.
A.
B.
4.
A.
B.
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5.
A.
B.
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3.3 Likert scale
A survey attempted to evaluate student interest about a range of classroom topics.
Students were asked to rank their interest in various potential topics according to
this scale:
10 if they felt a topic was very interesting
6 if they felt a topic was above average interest
4 if they felt a topic was below average interest
1 if they felt a topic was not worth studying in class
Please note that only four responses were permitted: 10, 6, 4, and 1. Is this an
acceptable survey design? Explain your answer:
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4. When interviewing your team for the purposes of a survey, do you think that
there could possibly be bias from either your side or their side? Discuss possible
reasons for the bias, based on the information in the Learner Guide. Add any other
causes of bias that you may be aware of.
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100, 100, 99, 98, 92, 91, 91, 90, 88, 87, 87, 85, 85, 85, 80, 79, 76, 72, 67,
66, 45
a) What is the average score (mean) of the class for this test?
b) Is the sequence written in ascending or descending order?
c) Determine the median score
d) James obtained a mark of 90 and Petrus obtained a mark of 79 for the
test. How would you describe their results in relation to the mean?
e) In order to get a better idea of how a given data point relates to other
data, it is important to get an idea of how spread out the data are. One
way of doing this is by using the range. The range is the distance
between the highest and lowest data points in a set. What is the ‘range’ of
the scores for this test?
a)
b)
c)
d)
e)
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5.2 Group work (15 minutes): Find out how old each learner in the class is
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5.2.4 Analyse data:What conclusions can you reach based on the data?
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5.2.5 Reflect on the process you followed to obtain the information:
Was it effective?
Were respondents cooperative?
What would you do differently next time?
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6.1 Draw a reasonably accurate pie chartby hand based on the following data:
Absenteeism due to transport problems 108º
Absenteeism due to illness 162º
Absenteeism due to training 45º
Absenteeism due to family commitments 45º
Give your chart a title that accurately reflects the kind of data represented;
Title:
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Legend:____________________________________________________________________________
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6.2 Give an example of the type of data in the workplace that you would
represent with a) a bar chart, b) a line chart and c) a scatter diagram:
a)
b)
c)
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7. Read the following article written by the statistician-general of SA, paying
particular attention to his explanation of the limitations of statistical
information, and then answer the questions that follow:
By PaliLehohla
This article was originally published in the Business Report on 07 July 2005
Statistics SA continues to improve the quality of its statistics. The quarterly
employment statistics (QES) survey was published for the first time on June 28.
This survey replaces the quarterly survey of employment and earnings (SEE) which
in turn replaced the survey of total employment and earnings (STEE).
There are important differences between these surveys, all aimed at improving the
quality of the information. First, the STEE was drawn from the initial business
address register, which was not based on the comprehensive taxation database
that the current surveys are based on. It reported formal employment in the non-
agricultural sector of 4.7 million people.
Second, the recently introduced QES covers all employing enterprises in the formal
non-agricultural business sector registered for income tax, whereas the SEE was
restricted to enterprises registered for VAT, with an annual turnover of R300 000
or more.
For the quarter to December 2004, the SEE reported employment of 6.559
million people, compared with the estimate of 7.075 million in the QES.
Third, the definition of employees has been brought in line with International
Labour Organisation (ILO) definitions and concepts. Previously, the SEE included
working proprietors and own account workers in the estimates of employment, in
addition to the employees of an enterprise. This did not allow for the meaningful
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calculation of estimates for average monthly earnings of employees.
However, the QES restricts the coverage to employing businesses only, therefore
excluding working proprietors in the estimates. It is therefore now possible to
provide estimates for employment and earnings as well, as the survey is in
accordance with ILO definitions and recommendations.
The SEE and the QES are not comparable because of these
improvements. The estimates for employment for the quarter to December,
published on June 28 in the QES, show a difference of about 500 000 employees.
This was largely due to the extended coverage of the QES survey, made possible
by improvements to the business frame that I reported on in earlier articles.
The drop in employment in the first quarter was largely caused by seasonal
factors, with many people being employed for the December period only. The
published results do not take this seasonality into account as it is not
possible to develop seasonally adjusted estimates for a series that has
only been published for two periods.
As the series progresses and more results become available, it will become
possible to get a clear insight into the labour market by using the QES survey
estimates.
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obtained from the six-monthly labour force survey, conducted among 30
000 households countrywide. The results of this survey should be read in
conjunction with those of the QES, as they all inform on the dynamics in the labour
market.
Over time, by using register-based frames, Stats SA has continued to provide a
more representative picture of the economic and the population dynamics of the
country.
7.1 Explain how the representative sample has grown from 4.7 million (STEE
findings) to 6.559 (SEE) to the current 7.075 million (QES findings):
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7.2 What categories of workers have been excluded from QES and why?
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b)
c)
d)
e)
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7.3 What are the limitations of a time series that has only two data points?
(par.14)?
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On a lighter note:
"If a statistician had her hair on fire and her feet in a block of ice, she would say
that 'on average' she felt good."
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SELF-ASSESSMENT
The learner must make use of the following self-evaluation checklist to rate himself
against the learning outcomes of this particular training module in establishing the
level of mastery of the information.
1. Not able to comply
2. Reasonable compliance (Not acceptable for final evaluation)
3. Able to comply fully
LEARNING OUTCOMES 1 2 3
1
2
3
4
____________________________________________
________________________________
Learner Signature Date
____________________________________________ ________________________________
Facilitators’ Signature Date
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ASSESSMENT FEEDBACK REPORT
ASSESSMENT JUDGEMENT
Action/s required:
By when:
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DECLARATION BY LEARNER