Mathematical
Literacy
NQF 3
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Mathematical Literacy Level 3 Module 17
Level 3 Mathematical Literacy study guide, 22 pages. Read online or get the free PDF download.
Subject: Mathematical LiteracyMultiple grades22 pages
Mathematical Literacy. Study guide, 22 pages. Read online or download the PDF.
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Represent and interpret
data
Module 17
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Maths Lit NQF Level 3
Overview
17.1 Measures of central tendency and spread
17.2 Read and represent data in graphs and tables
17.3 Choosing the appropriate representation
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Maths Lit NQF Level 3
Measures of central tendency
and
Unit 17.1
spread
Data sets
In statistics, the lists of data that we have collected, are called
data sets.
• We need to interpret the data by summarising and representing the
data.
”
• The first step in the process is to find the measures of central
tendency.
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Measures of central tendency
and
Unit 17.1
spread
Central tendency
Central tendency refers to how the numbers are grouped or spread
around the average value that gives the position of the centre of
the data.
”
• The three different measures of central tendency tell us different
things about a data set.
• Each of these measures of central tendency can be defined by the
way in which they are calculated.
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Measures of central tendency
and
Unit 17.1
spread
• These measures are:
Mean Median Mode
Note:
Do not get confused with the meaning of the word average.
It can refer to all 3 measures of central tendency.
The calculated average refers to the mean.
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Measures of central tendency
and
Unit 17.2
spread
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The advantages and disadvantages
of using measures of central
tendency and spread
Unit 17.1
Advantages Disadvantages
• useful in describing measured • does not tell us the number of high
mean values or low values.
• does not show data distribution
• gives us the middle value of a • does not use the actual values of the
data set data - uses their positions in the
• tells about the data differs in the ordered data
median bottom half and the top half of
the data set
• not affected by very high or very
low values.
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The advantages and disadvantages
of using the measures of central
tendency and spread
Unit 17.1
Advantages Disadvantages
• on a bar graph comparing the • Not all data has a mode
number of items in different
categories, the mode is easy to
mode
identify as the highest bar
• useful for categorised data e.g.
shoes sizes
• Not all data sets have a mode.
• Some data sets have more than one mode.
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Example 17.2 page 321
Unit 17.1
Which averages are referred to in the following article
and how were they calculated?
A research survey was carried out
in a supermarket to see at what
times people prefer to do their
grocery shopping. Most people
prefer to shop between 4 p.m. and
7 p.m. in the evenings during the
week or between 9 a.m. and
12 p.m. on Saturdays and Sundays.
The number of people visiting the mall per day over one month ranged
from 800 to 3 890 people. The average number of people visiting the
mall each day was 2 890 people, while the median was 2 011.
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Example 17.2 page 321 continued ...
Unit 17.1
• There were two kinds of data collected: the times
when people arrived and the numbers of people.
• The data for the number of people arriving at the
shopping mall has been arranged in the time intervals
in which people shop. The mode is the most popular
shopping time.
• The word ‘most’, is a clue to check if this gives you
the mode of the data.
• The mean of the number of people coming to the
mall each day was calculated and given as the
average.
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Example 17.2 page 321 continued ...
Unit 17.1
• The median number of people is also given.
• The median is lower than the mean. This shows us
that data is not distributed uniformly.
• On half of the days, less than 2 011 people visited the
mall and on half of the days more than 2 011 people
came to the mall.
• The mean is higher than the median because there
were a few days when the number of people was very
high.
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Exercise 17.1
Unit 17.1
Complete Exercise 17.1 on page 324 of your Student’s Book
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Read and represent data in
graphs and tables
Unit 17.2
Data is usually represented in two ways, using :
Graphs Tables
Deciding which graph to use is determined by the type of data that is
being represented, namely:
• Discrete data – values are whole numbers or names of things.
• Continuous data – values representing measurements, include all
number values.
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Read and represent data in
graphs and tables
Unit 17.2
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Maths Lit NQF Level 3
Exercise 17.2
Unit 17.2
Complete Exercise 17.2 on page 331 of your Student’s Book
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Choosing the appropriate
representation
Unit 17.3
• Choose the method of displaying data according to the kind of data and
what you want the focus to be.
Bar graphs
Bar graphs are convenient when
we want to compare the
quantities of things in different
categories.
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Choosing the appropriate
representation.
Unit 17.3
• Choose the method of displaying data according to the kind of data and
what you want the focus to be.
Pie charts
Pie charts show us the relative
percentages of items as
proportions of a whole, but they
often do not show the actual
numbers of things.
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Exercise 17.3
Unit 17.3
Complete Exercise 17.3 on page 333 of your Student’s Book
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Maths Lit NQF Level 3
VIDEO: Applications in the
workplace
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Maths Lit NQF Level 3
Module assessment
Module 17
Complete Module assessment on page 336 of your Student’s Book
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