| Understanding
Statistics |
Statistics is the collecting, the grouping, and understanding
of data.
Data is the raw facts and figures that would be collected,
for example, the number of children in a home,
the heights of children in a class or the number
of people in an office who wear glasses.
Data can take on take on two forms discrete or continuous. |
| Discrete
vs Continuous Data |
Discrete data is data that
can take on exact values, for example, the number
of cars passing a checkpoint in 30 minutes
or the number of tomatoes on each plant or the
number of children in a home.
There
cannot be 2 1/2 children in a home because
you cannot have 1/2 of a child but you
can have 2 children living in a home
or 46 cars passing a checkpoint in 30 minutes or 6 tomatoes on each plant.
In
this example 2, 46 and 6 are examples of exact data or discrete data and may be described as the number of times
a situation may occur. The number of times a
situation may occur is called the frequency.
Continuous data is data that
cannot take exact values,
for example, the speeds of vehicles, the weights
of flour or the time taken for a class to complete
a task. Therefore,
the speed, the weight or time can take on a
large range of values.
For example, the speed of a car can be 2.35 miles per hour, the weight of flour 6 1/2 pounds, or a class may take 1/2 of an
hour to complete a task. |
| Tables
and Graphs |
Tables and graphs are used to organize and arrange data so
that it is more easily understood by the viewer.
Data is first collected and organised,
using a tally table or chart,
and then displayed using one of many types of graphs. Tables and graphs,
therefore, go hand in hand since the information
used in tables is frequently also used for the basis of graphs.
There
are many types graphs that can be used to display data.
There are Pictographs, Bar Graphs or Column Graphs,
and Pie or Circle Charts. |
| Tally
Charts or Tally Tables |
Tally tables are
one of the most fundamental of tables used in Statistics to organise and arrange data in
a way that would be helpful in understanding
the data being analysed. Tally tables are
used to analyse a small number of discrete data.
If
we were to analyse the ways in which children
in a class got to school, we can use a tally table to
represent this.
For example, if we know that 9 children
walk to school, 3 ride a bike, 6 ride in a car and 12 caught the bus this
information can be displayed in a tally table.
For
every one score a vertical line, |, is used.
The number four would therefore would be represented
like this, ||||.
When the number is five, a slanted stroke, ,
is placed through the four stokes looking like
this, |
| How
to Draw and Label a Graph? |
Before
we talk about graphs it is important for us to know how to draw and label a graph.
A graph normally consists of a an x-axis which is represented by a horizontal line and
a y-axis which is represented by a vertical line.
Next,
marks must be placed on your X and Y axes that will tell you where to place your data.
Then , it is equally important to label both
axes, that is, give them both a name that describes
the nature of its values.

For example, if we analysed the different ways
children in a class may get to school then on
the x-axis we can label it "Method".
The different methods children use to get to
school are walking, catching the bus, riding
in a car or on a bicycle, taking a train or
a taxi, etc.
The y-axis can be labelled then "Number of Children" to represent
the number of children who may take a certain
method of transportation. This line, in our
example, increases in multiples of 2.
Finally, the entire graph can be labelled "Getting to School"
because it describes the different ways in which
children get to school.
|
| Pictographs |
A pictograph is a pictorial representation of numerical data that
uses cartoon or simple drawings to depict quantities.
It makes comparisons easily understandable and
is excellent for young audiences.
In
this example it can be seen that there are clearly 5 apples, 6 oranges and 6 bunches of grapes.

|
| Bar
Graph or Column Graph |
A bar graph is a graph which visually displays amounts or frequencies of different characteristics of data.
For example, the favourite after school activities
include visit with friends, talk on phone, play
sports, earn money, use computers.
Activity |
Number |
Visit
with friends |
175 |
Talk
on Phone |
168 |
Play
Sports |
120 |
Earn
Money |
120 |
Use
Computers |
65 |
|
Favorite
Student After School Activity |
The frequency or number of students that visit with friends
are 175, the number that talk on the
phone are 168, the number that play sports
are 120, the number that earn money are 120 and the number that use computers
are 65. This information can be displayed
clearly using the table and the bar graph below.

|
| Pie
or Circle Charts |
Circle or pie charts are particularly good illustrations when considering
how many parts of a whole are in question. Pie diagrams are particular useful when we wish to compare
two or more sets of similar data.
Colour |
Total |
Brown |
6 |
Green |
12 |
Blue |
4 |
Other |
2 |
Total |
24 |
|
Colour
of Eyes |
For example, the colour of the eyes of the children
have been displayed with the use of a table and a pie chart. The
number of children with brown eyes are 6,
the number of children with green eyes are 12,
the number of children with blue eyes are 4 and the number of children with another colour
are 2.
|
This
can be displayed using a pie chart having special
knowledge that a circle has 360 degrees.
Inorder
to calculate the section or angle of the circle
dedicated to a certain colour we take the number
and put it over the total to make it a fraction,
and then multiply it by 360°
 |
Pie
Chart Representing Different Eye Colours |
|
Brown :
6/24
x 360 = 90°
6/24 x 100 = 25%
Green :
12/24
x 360 = 180°
12/24
x 100 = 50%
Blue
:
4/24
x 360 = 60°
4/24
x 100 = 17%
Other :
2/24
x 360 = 30°
2/24
x 100 = 8%
|
|
| Mean,
Mode and Median |
The mean, median and mode are really useful ways of comparing
sets of data.
Mean
The mean is the average of
a set of data.
The mean is
calculated by adding up all the numbers and then
dividing it by the number of numbers.
For example, 4 tests results are 15, 18, 22, 20. The sum is: 75.
If we divide 75 by 4 we will get 18.75. Therefore, the mean of 15, 18, 22 and 20 is 18.75.
Mode
The mode is
the score that appears the most in a given set of data.
To figure it out, all have to do is determine
the score or number that appeared the most.
For
example, the data given is 10, 12, 12, 10, 9, 11, 11, 13, 11, 9, 8. If we placed it in numerical
order then we can see clearly the number that
occurs the most.
8, 9, 9, 10, 10, 11, 11, 11, 12, 12, 13
We
can see that the number 11 occurs the most. Therefore,
the mode is 11.
Median
The median is
the middle score of
a set of data arranged in a numerical order
To
calculate the median we must first arrange the data in numerical order either ascending or descending.
Then, we must determine the middle number.
There
are two situations that we face when finding
the median. Those two situations are:
1. when the number of numbers are odd and
2.
when the number of numbers are even.
Odd
Number of Numbers
For
example, find the median of: 9, 3, 44, 17, 15
3, 9, 15, 17, 44 (ascending order)
The Median is: 15
Even
Number of Numbers
For
example, find the median of: 8, 3, 44, 17, 12, 6
3, 6, 8, 12, 17, 44 (ascending order)
Add
the 2 middles numbers and divide by 2:
8
+ 12 = 20 / 2 = 10
The Median is 10. |
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