Mathematical
Literacy
NQF 3
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Mathematical Literacy Level 3 Module 16 hlayiso.com
Subject: Mathematical LiteracyMultiple grades33 pages
Mathematical Literacy. Study guide, 33 pages. Read online or download the PDF.
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Collect and organise data
to answer questions in a
workplace based context
Module 16
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Maths Lit NQF Level 3
Overview
16.1 Key concepts related to data collection and
handling
16.2 Identifying possible sources of error, bias or
misinterpretation
16.3 Questions and instruments for collecting data
16.4 Classifying and organising data
16.5 Grouping data using intervals
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Key concepts related to data
collection
Unit 16.1
and handling
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Maths Lit NQF Level 3
Key concepts related to data
collection
Unit 16.1
and handling
• Gathering information is an important way to help people make
decisions about topics of interest.
• We often see the results of data collection on television, radio or in the
newspaper.
• In the workplace, surveys can help decide what needs to be changed,
where money should be spent, what products to purchase, what
problems there might be, and so on.
• We use different methods to collect data by using surveys of people
(e.g. questionnaires, opinion polls)
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The process of data collection
Unit 16.1
Clarify the
research Define the
Ask Summarise
questions population
questions and
and the of interest – present
1234
type of data A census or and tally
the results the results
to be a sample
collected
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1. Clarify the research questions and
the type of data to be collected.
Unit 16.1
What questions do you want answered?
These can be Or they can be more
simple questions, complex questions,
For example, For example,
What is your favourite colour? Which roads have the worst traffic?
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2. Define the population of interest
and choose a census or a sample
Unit 16.1
Example 16.1 page 308
In a shopping centre on a Saturday, 250 customers go to a
restaurant. You want to know more about them to see what the
target market for the restaurant should be.
You could interview every person there, which is a census.
You could just choose to ask every tenth person who leaves the
restaurant. That is a sample.
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2. Define the population of interest
and choose a census or a sample
Unit 16.1
Example 16.1 page 308 continued…
If you use a sample, you need to choose it randomly to make sure
that the data is correct.
After completing a sampling survey you can use the information
to make a prediction about how the rest of the population would
respond. The more people you have asked, the better your result
will be.
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3. Ask questions and tally the results
Unit 16.1
Example 16.3 page 308
To collect information about the favourite colours of a group of
people at a shopping centre, you could keep a tally of results as
you ask people.
Every 5th mark crosses the previous 4 marks, so you can see
groups of 5 and count up the tallies.
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4. Summarise and present the
results
Unit 16.1
Example 16.4 page 309
You have collected information about how long it has taken
customers to get to a shopping centre.
You could present the information like this:
• Shortest journey: 10 minutes
• Average journey: 22 minutes
• Longest journey: 45 minutes
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Exercise 16.1
Unit 16.1
Complete Exercise 16.1 on page 309 of your Student’s Book
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Identifying possible sources of
error,
Unit 16.2
bias or misinterpretation
Two things can go wrong when you collect data:
• If questions in the survey are worded poorly or ambiguously, people's
answers can be inaccurate. This results in error in your data.
• You may introduce bias into the process.
Definition
Bias is information that is not truly representative of the situation
you are investigating
• Bias may be a result of:
• poorly prepared questions
• a sample that is not representative of a population
• collecting agents with different ways of collecting the data.
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Example 16.5 page 310
Unit 16.2
• Thandi carried out a survey to find out how much
money people living in a town spend on food each
week.
• She asked 100 people at the shopping centre closest
to where she lives on a Tuesday morning.
• Explain why Thandi’s survey might be biased and
advise her on how to avoid this bias.
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Example 16.5 page 310 continued ...
Unit 16.2
Thandi could be introducing bias by:
• surveying shoppers at one shopping centre only
• only asking shoppers on one week day
• only asking shoppers at one time of day.
She should rather choose a variety of different places
to ask people, and survey people on other days,
including weekends, and at different times of the day,
including after normal working hours.
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Choosing your sample
Unit 16.2
• The sample chosen from the larger group (population) must represent
that group.
• There are always some variables that cannot be represented. To make
the sample represent the whole population as closely as possible:
choose a random sample containing all the different kinds of people
representing the population from which it is drawn
choose a large enough sample to fairly represent the population
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Exercise 16.2
Unit 16.2
Complete Exercise 16.2 on page 311 of your Student’s Book
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Questions and instruments for
collecting
Unit 16.3
data
We can differentiate between two types of questions:
Closed Open-ended
questions questions
Questions with a set number Questions that can be
of answers to choose from. answered in any way.
e.g. Write down your gender: e.g. How do you feel about
M (male) or F (female) people that litter?
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Questions and instruments for
collecting
Unit 16.3
data
• It is a good strategy to have a selection of closed questions, but follow up
with some open-ended questions. That way you can be sure that you get
the information you need.
Points to remember:
• The questions must provide the information that we
want.
• The questions must be short and simple.
• The questions must be clear and unambiguous.
• The questions must mostly be closed and not open-
ended.
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Example 16.6 page 311
Unit 16.3
• Your class wrote a test marked out of 50.
• You want to find out how well the class felt that
they did in the test.
• Develop a question that you can use to find this out.
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Example 16.6 page 311 continued ...
Unit 16.3
• The term ‘how well’ is not clear. To make it clear we
can use the words poor, average, good and excellent.
But these words on their own are still not clear, so
we must state the marks that would be considered
poor, average, good and excellent.
• A suitable question might be: Tick the list.
How well did you do in the test?
Description
Poor
Average
Good
Excellent
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Example 16.6 page 311
Unit 16.3
• You might also ask the students to add any comment
to their answer. For example, they might want to add
that in their opinion, the test was unreasonably
difficult.
• You could leave space for this by inserting an open-
ended question such as:
‘Is there any other comment you would like to
make about the test?’
• Do not give them an example of a possible
response or “lead” their answer in any way.
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Instruments of data collection
Unit 16.3
• Three instruments for collecting data or ways of collecting data are:
Observation
You simply observe, watch and record the information.
Interview
Face-to-face questions, appropriate for small numbers and short responses.
Questionnaire
You write a set of questions and provide spaces for participants to write their
responses. This instrument is good for getting information from many people.
• The instrument type is determined by:
i. info required
ii. type of question
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Exercise 16.3
Unit 16.3
Complete Exercise 16.3 on page 313 of your Student’s Book
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Classifying and organising data
Unit 16.4
• Data can be organised by using:
tallies
frequency tables
• Organising data when it is collected makes it easy to find the totals.
• The table shows the results of a survey:
Number of
Tally Frequency
vehicles
0 ||| 3
1 |||| ||| 8
2 |||| |||| || 12
3 | 1
4 || 2
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Classifying data
Unit 16.4
Once data has been collected and organised it needs to be classified.
1. Numerical data is data that is measured in numbers and units.
Discrete data has exact separate values
e.g. the number of people in a room
Continuous data is data that can have any value, including fractions
e.g. 12,5cm
2. Categorical data is data that is described, not measured in units.
e.g. a person’s gender; makes of cars; types of animals.
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Exercise 16.4
Unit 16.4
Complete Exercise 16.4 on page 315 of your Student’s Book
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Grouping data using intervals
Unit 16.5
• When a large amount of data is collected we can group the data into
class intervals.
• We decide on the size of the class intervals using the range of the data
and a useful number of intervals spread through the range.
Range = highest – lowest score
• We don't want too much data in the intervals, but we also don't want
too many intervals to work with.
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Example 16.8 page 316
Unit 16.5
The grouped frequency table represents the ages of
200 people in a shopping centre on a Saturday.
Age (years) Tally Frequency
0-9 |||| ||| 8
10-19 |||| |||| || 12
20-29 |||| |||| |||| |||| |||| 24
30-39 |||| |||| |||| |||| |||| |||| 43
|||| |||| |||
40-49 |||| |||| |||| |||| |||| |||| 41
|||| |||| |
50-59 |||| |||| |||| |||| |||| || 27
60-69 |||| |||| |||| |||| ||| 23
70-79 |||| |||| |||| ||| 18
80-89 ||| 3
90-99 | 3
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Example 16.8 page 316
Unit 16.5
Age is continuous data. So there are no gaps between
the intervals.
Each class interval represents all of the possible ages
up to the beginning of the next class interval.
So the interval 0–9 years represents all of the ages up
to 10 years, including 9 years 6 months etc.
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Exercise 16.5
Unit 16.5
Complete Exercise 16.5 on page 316 of your Student’s Book
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Module assessment
Module 16
Complete Module assessment on page 319 of your Student’s Book
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