Mathematical
Literacy
NQF 4
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Mathematical Literacy Level 4 Module 14
Level 4 Mathematical Literacy study guide, 46 pages. Read online or get the free PDF download.
Subject: Mathematical LiteracyMultiple grades46 pages
Mathematical Literacy. Study guide, 46 pages. Read online or download the PDF.
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Representing and
interpreting data
Module 14
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Overview
14.1 Measures of central tendency and spread
14.2 Representing data using graphs; reading and
interpreting data
14.3 Identifying trends and drawing conclusions
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Measures of central tendency
and
Unit 14.1
spread
• In daily life, we use the word average to mean somewhere in the middle.
For example, Jane has an average height, a student has an average
Maths ability.
• In Mathematics, we use the averages of a data set to help us summarise,
represent and interpret the data.
• We use three different measures of the average of data, called the
measures of central tendency of the data.
• The three measures of central tendency are called the mean, the
median and the mode.
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Measures of central tendency
and
Unit 14.1
spread
• These three measures of central tendency each describe a different
aspect of the data. Depending on the data set, the values found can be
very different, or very similar.
Mean Median Mode
The mean is the total The median is the The mode is the value
sum of all the values middle value when the in the data that
divided by the number data is arranged in occurs most often.
of values ascending order.
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Advantages and disadvantages of
median
Unit 14.1
Median
Advantages Disadvantages
• The median gives the middle • The median is not affected by very
value of a data set, i.e. half of the high or very low values (outliers), as it
data is above and half below this is based on the positions of the
number. numbers in the ordered data set.
• The median does not tell us about
• We can use the median with the how the values are spread in each half
range to get a better picture of of the data.
the top half and the bottom half
• If the median and the mean are very
of the data.
different, then the data is not evenly
spread around the middle value.
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Advantages and disadvantages of
the
Unit 14.1
mode
Mode
Advantages Disadvantages
• The mode is useful to know which data • If another data value occurs
value occurs most often. nearly as often as the mode, it
• The mode is often used when data does not affect the value of the
consists of categories such as favourite mode.
foods, colours of cars.
• There can be more than one mode. • The mode does not give us any
• We do not calculate the mode. We information about the rest of
count to see which numbers occur most the data set.
often. • Not all data sets have a mode.
• A visual representation of the mode is
useful. For example, on a bar chart, the
mode is the highest bar.
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Range – a measure of spread
Unit 14.1
• The range is a measure of how spread out the data set is.
• The range of a set of data is the difference between the highest and the
lowest values in the data set.
Range = highest – lowest score
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Example 14.6 page 285
Unit 14.1
The monthly salaries of employees at two financial
institutions, one in Cradock in the Eastern Cape and
the other in Durban in KwaZulu Natal, are recorded.
a) Calculate the range of the monthly salaries earned
at the Cradock financial institution.
b) Write down the median monthly salary earned at
the Cradock financial institution.
Cradock 4 100 4 320 4 500 4 650 4 650 4 650 5 500 5 650 7 350
Durban 5 400 5 525 5 980 6 250 6 250 6 250 6 300 7 800 8 200 8 950
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Example 14.6 page 285
Unit 14.1
c) Write down the median and mode for the
monthly salaries earned at the Durban financial
institution.
d) Calculate the average (mean) monthly salary
earned at the Durban financial institution.
Cradock 4 100 4 320 4 500 4 650 4 650 4 650 5 500 5 650 7 350
Durban 5 400 5 525 5 980 6 250 6 250 6 250 6 300 7 800 8 200 8 950
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Example 14.6 page 285
Unit 14.1
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Activity 14.1
Unit 14.1
Complete Exercise 14.1 on page 286 of your Student’s Book
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Representing data using graphs;
reading
Unit 14.2
and interpreting data
Graphs are drawn to give a visual representation of the data and the type
of graph is determined by the type of data.
Different types of graphs
A pie graph represents data as portions of a whole pie, usually as a
percentage of the whole (100%). A pie chart compares the sizes of parts
well, but it does not show the actual quantities of data being represented.
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Representing data using graphs;
reading
Unit 14.2
and interpreting data
Graphs are drawn to give a visual representation of the data and the type
of graph is determined by the type of data.
Different types of graphs
Bar graphs are useful for representing categories of discrete data
measured in numbered intervals or as percentages.
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Representing data using graphs;
reading
Unit 14.2
and interpreting data
Graphs are drawn to give a visual representation of the data and the type
of graph is determined by the type of data.
Different types of graphs
Line graphs can be used in the same way as bar graphs, but they are more
useful for showing trends or changes over time.
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Pie charts and bar graphs
Unit 14.2
Pie charts Bar graphs
• Pie charts show a whole divided into • Bar graphs show the amounts or
parts. They show how the parts relate to quantities involved, but do not show the
one another and how the parts relate to relationship between individual
a whole. amounts and the whole as effectively as
pie charts.
• They give us a visual impression of the • Bar charts allow us to compare the
relative proportion between parts, but quantities of different categories, for
they do not give the actual quantities. example the sales of different items.
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Example 14.9 page 290
Unit 14.2
• Elizabeth is an office manager. One of her duties is to
draw up a budget for the office and present it to the
board of directors for approval. She has to budget for the
following items:
Office equipment 10%
Stationery 25%
Repairs 15%
Salaries 50%
• She uses this information to
Stationery
draw up a pie chart for her
presentation to the board of
directors.
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Example 14.9 page 290
Unit 14.2
a) Her office equipment budget is R26 000. What is
her budget amount for:
i. Repairs
ii. Stationery
iii. Salaries
b) How much money is she planning to spend in
total?
c) If the board of directors asks her to reduce her
spending by 10%:
i. How much will she be able to spend in total?
ii. How will the pie chart change?
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Example 14.9 page 290
Unit 14.2
a)
i. R26 000
ii. R52 000
iii. R104 00
b) R208 000
c)
i. R187 200
ii. The pies chart will not change. The
percentages of Elizabeth’s pie chart will stay
the same.
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Example 14.11 page 292
Unit 14.2
• A clerical company is aware that six of their employees are
working more than the required 40 hours every week.
Hlengi makes a horizontal bar graph to show them how
many hours they are each working per week.
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Example 14.11 page 292
Unit 14.2
a) What does each axis on this graph represent?
b) How many overtime hours does Caroline work per
week?
c) Calculate the total number of overtime hours
worked by the six employees.
d) If the rates for overtime work are R45 per hour, how
much is the overtime work costing the company per
week?
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Example 14.11 page 292
Unit 14.2
a) The horizontal axis represents the number of hours
that employees work per week. The vertical axis
represents the six individual employees.
b) Caroline works 35 overtime hours per week.
c) 90 hours of overtime.
d) 90 × R45 = R4 050
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Compound or double bar graphs
Unit 14.2
Definition
A double bar graph is used to compare two things for each
category. For example, we could use a double bar graph to compare
the differences between sales for the same month in two different
years.
”
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Compound or double bar graphs
Unit 14.2
In this double bar graph, sales are given in thousands of rand on the
vertical axis.
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Compound or double bar graphs
Unit 14.2
The horizontal axis shows sales for March to June for two different
years, 2016 and 2017.
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Compound or double bar graphs
Unit 14.2
This graph can be used to show a recovery in April sales from
2016 to 2017.
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Compound or double bar graphs
Unit 14.2
Note:
Representing data in this way is useful for many industries because
sales are strongly related to the time of year; so comparing
information from month to month is more useful than just looking
at information from year to year.
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Compound or double bar graphs
Unit 14.2
Note:
When there are more than two bars in each category, we call it a
compound bar graph. A compound bar graph allows you to
compare many sets of data for each category, as well as the
differences between the categories themselves.
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Vertical and horizontal stacked
bar
Unit 14.2
graphs
Stacked Bar Graphs
Stacked bar graphs represent two or more sets of data in each bar.
Different colours are used to compare the data within each bar.
This allows for comparison and groupings.
”
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Example 14.13 page 293
Unit 14.2
• A rugby club has three teams which play matches in
each season. The performances of the different
teams for 2010–2013 are given in the table.
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Example 14.13 page 293
Unit 14.2
• This information is shown on a vertical stacked bar graph.
a) Which team scored the most points over the four years?
b) In which year did Team A score the most points?
c) How many points did Team C score in the four years?
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Example 14.13 page 293
Unit 14.2
a) Team B scored the most points in the four years. They
scored a total of 240 points.
b) In 2012 Team A scored the most points for their team.
c) Total points scored by Team C: 10 + 15 + 12 + 5 = 42
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Histograms
Unit 14.2
Histograms
Histograms are graphs used to represent grouped and continuous data.
They show the frequency and the distribution (spread) of the data.
The horizontal axis of
a histogram has a
continuous scale.
The vertical axis
shows the
frequency, or
number of times the
data is listed.
There are no gaps
between the bars of
a histogram.
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Line and broken-line graphs
Unit 14.2
Broken-line graphs
Broken-line graphs show trends or changes in quantities over a
certain time period. The points show when the measurements were
taken but dotted to show the trend from one reading to the next.
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Exercise 14.2
Unit 14.2
Complete Exercise 14.2 on page 296 of your Student’s Book
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Identifying trends and drawing
conclusions
Unit 14.3
• If an inappropriate kind of graph is used, this can affect the reader’s
interpretation of a graph.
• e.g. if a pie chart is used when actual quantities are more important than
the relative proportions, then this can distort the interpretation.
• Also check that the data plotted really does mean what the writer claims
it does.
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Identifying trends and drawing
conclusions
Unit 14.3
Changing the scale of the axis
1 Changing the scale of the vertical axis on bar graphs and line graphs
changes the apparent differences between the points or bars.
2 The larger the spaces between each number on the vertical axis, the
bigger the apparent difference between the different bars will be.
If the spaces between the numbers on the axis are smaller, the differences
3 appear smaller, as the bars or points appear to be closer in height.
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Example 14.16 page 299
Unit 14.3
These two broken-line graphs show exactly the same data:
they are graphs of the exchange rate for the rand against the
pound sterling over a few months. Currency fluctuation
(change) is an issue which people may want to emphasise in
some situations and downplay in other situations.
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Example 14.16 page 299
Unit 14.3
• In the first graph, the vertical axis does not begin at zero
and the numbered intervals are further apart, increasing in
R1 per pound.
• This makes it look as if the exchange rate fluctuations are
large.
• In the second graph, the vertical axis begins at zero and
the numbered intervals are closer together, increasing in
R2 per pound.
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Example 14.16 page 299
Unit 14.3
• As we would not expect the rand/pound exchange rate to
reach values near zero, the second graph is probably not
realistic.
• Economists are more likely to take the view that the first
graph is more accurate, as small changes in the value of
our currency have a large effect on our economy.
• Note that it is not necessarily wrong to change the scale
on the axes. For example, graphs showing stock exchange
fluctuations rarely show the zero value on the graph and
stock brokers are taught to interpret the graphs in that
form.
• Sometimes small changes in data values have important
effects and in these cases, it may be valid to change the
scale to show these. As in the example above, it is not
always wrong to omit the zero value on an axis.
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Using pictures and 3-dimensional
representations
Unit 14.3
• Data in a graph can be misleading at first glance. Study the graph
carefully before making any conclusions.
• The size of the elements can affect the way a person interprets the
information. If an object or bar is drawn with a greater area, the viewer
sees a larger difference between the objects.
• Three-dimensional pie charts in the newspaper may be misleading.
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Using pictures and 3-dimensional
representations
Unit 14.3
• This graph shows an enlarged light bulb (wider as well as taller), so the
viewer might interpret the graph as Secunda using much more electricity
than Mbombela, when the difference is in fact not that large.
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Exercise 14.3
Unit 14.3
Complete Exercise 14.3 on page 301 of your Student’s Book
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VIDEO: Application in the
Workplace
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Module assessment
Module 14
Complete Module assessment on page 303 of your Student’s Book
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