MEASURE OF CENTRAL TENDENCY, MODE, MEDIAN, ARITHMETIC MEAN, ITS TYPES WITH EXAMPLES, ADVANTAGES AND DISADVANTAGES
INTRODUCTION:
·
“A measure of central
tendency is a single value that attempts to describe a set of data by
identifying the central position within that set of data”.
·
The term central tendency dates from the late 1920s.
·
A central tendency can be calculated for either a
finite set of values or for a theoretical distribution, such as the normal distribution.
There
are three measures of central tendency which are as follows:
·
Arithmetic mean
·
Median
·
Mode
· Geometric mean
v ARITHMETIC
MEAN:
ü “ In statistics, the arithmetic
mean is the sum of a collection of numbers divided by the number of numbers in the collection”.
ü The collection is often a set of results of an experiment, or a set of results from a survey.
§ Arithmetic
mean is rigidly defined.
§ It
is based on all observations of series.
§ It
is easy to calculate and simple to understand.
§ It
is also capable of further algebraic treatments.
§ It
is free from extreme values and can not be affected by extreme values.
FORMULA:
ADVANTAGES
ü It
is easy to understand.
ü It
is easy to calculate.
ü It
is use to calculate standard deviation.
ü It
is based on all observations.
ü Stable
in the sampling sense.
ü It
is use to calculate mean deviation.
ü It
has definite value.
DISADVANTAGES:
ü If the of items in a series is very small , the extreme items effect the arithmetic mean.
ü The
average can not be evaluated even if one item in a given series is not known.
ü In
an organization , the production rate of four of its member per hour is A – 30
, B – 30 , C – 30 and D – 46 . The
average comes out of 34 ; hence , the average 34 can not be fixed as the
production standard because many of employes can not achieve this.
ü It can not be located by mere inspection . It requires computation.
·
MEDIAN:
“ The median is the size of
middle – most item when the items from an array”.
FORMULA:
EXAMPLE 1:
Find
the median for the following list of
values:
13, 18, 13, 14, 13, 16, 14, 21, 13
SOLUTION:
The median is the middle value,
so I'll have to rewrite the list in order:
13, 13, 13, 13, 14, 14, 16, 18,
21
There are nine numbers in the
list, so the middle one will be the (9 + 1) ÷ 2 = 10 ÷ 2 = 5th
number:
13, 13, 13, 13, 14, 14, 16, 18, 21
So the median is 14.
EXAMPLE 2:
Find the median for the following list of values:
8, 9, 10, 10, 10, 11, 11, 11, 12, 13
SOLUTION:
The median is the middle value.
In a list of ten values, that will be the (10 + 1) ÷ 2 = 5.5th value; that is, I'll need to average the fifth
and sixth numbers to find the median:
(10 + 11) ÷ 2 = 21 ÷ 2 = 10.5
EXAMPLE 3:
The Doran family has 5
children, aged 9, 12, 7, 16 and 13. What is the age of the middle child?
SOLUTION:
Ordering the
childrens' ages from least to greatest, we get:
7, 9,
12, 13, 16
The age of the middle
child is the middlemost number in the data set, which is 12.
The Jameson family
drove through 7 states on their summer vacation. Gasoline prices varied from state to state. What is the median gasoline price?
$1.79, $1.61,
$1.96, $2.09, $1.84, $1,75, $2.11
SOLUTION:
Ordering the data from least to greatest, we get:
$1.61, $1.75,
$1.79, $1.84, $1.96, $2.09, $2.11
The median gasoline price is $1.84.
During the first
marking period, Nicole's math quiz scores were 90, 92, 93, 88, 95, 88, 97, 87,
and 98. What was the median quiz score?
SOLUTION:
Ordering the data from
least to greatest, we get:
The median quiz score
was 92.87, 88, 88, 90, 92, 93, 95, 96, 98
The median quiz score
is 92.
ü The
median is easily calculated and can be understood easily.
ü The
median can be evaluated even if data are incomplete.
ü The median may be located when items in a series can not be measured quantitatively.
DISADVANTAGES:
ü If there is a high degree of variation among
the data set , median can not be viewed as representative.
ü It
can not be considered as representative when there are few items.
ü It is not capable of further algebraic treatment.
·
MODE:
“ The
value of variables that commonly occurs within a given area is called mode”.
TYPES:
There are three types of mode which
are as follows:
Ø Unimodal
Ø Bimodal
Ø Multimodal
Ø UNIMODAL:
If the set of information contains
only one mode , then it is said to be unimodal.
Ø BIMODAL:
If
the set of information contains two modes , then it is said to be bimodal.
Ø MULTIMODAL:
If the set of information contains
more than two modes , then it is said to
be multimodal.
EXAMPLE 1:
The number of points
scored in a series of football games is listed below. Which score occurred most
often?
7, 13, 18, 24,
9, 3, 18
3, 7, 9, 13,
18, 18, 24
The following is the number of problems that Ms. Matty assigned for homework on 10 different days. What is the mode?
8, 11, 9, 14,
9, 15, 18, 6, 9, 10
SOLUTION:
6, 8, 9, 9, 9, 10, 11
14, 15, 18
The mode is 9.
In a crash test, 11 cars were tested to determine
what impact speed was required to obtain
minimal bumper
damage. Find the mode of the speeds given in miles per hour below:
24, 15, 18, 20, 18, 22, 24,
26, 18, 26, 24
SOLUTION:
Ordering the
data from least to greatest, we get:
15,
18, 18, 18, 20, 22, 24, 24, 24,
26, 26
Since both 18 and 24 occur three times, the modes are 18 and 24 miles per
hour.
A
marathon race was completed by 5 participants. What is the mode of these times
given in
hours?
2.7 hr,
8.3 hr, 3.5 hr, 5.1 hr, 4.9 hr
SOLUTION:
Ordering the
data from least to greatest, we get:
2.7,
3.5, 4.9, 5.1, 8.3
Since each
value occurs only once in the data set, there is no mode for this set of data.
§ It is simple.
§ It is
useful in the study of popular sizes.
§ It is
not affected by extreme values and can be calculated even if extreme values are
unknown .
DISADVANTAGES:
§ It is not
suitable for mathmetical treatment.
§ A
distribution may be bimodal or multimodal.
§ It is not
well defined.
§ Sometimes it is not possible to locate it properly.
·
GEOMETRIC MEAN:
“ The geometric
mean is a type of mean or average,
which indicates the central tendency or typical value of a set of numbers by
using the product of their values”.
Geometric Mean = ((X1)(X2)(X3)........(XN))1/N
where
X = Individual score N = Sample size
(Number of scores)
EXAMPLE 1:
Find the geometric mean of 10,12 ,18 ,20.
SOLUTION:
Geometric
Mean = ((X1)(X2)(X3)........(XN))1/N
By putting
values , we get:
(10 * 12 * 18 *
20)
1/4 = 10800
EXAMPLE 2:
Find geometric mean of 6,9,7,2,3.
SOLUTION:
Geometric Mean = ((X1)(X2)(X3)........(XN))1/N
By putting
values , we get:
(6 * 9 * 7 * 2
* 3) 1/5
= 453.6
EXAMPLE 3:
Find the
geometric mean of 1 , 4 , 6 , 9 , 0, 8.
SOLUTION:
Geometric
Mean = ((X1)(X2)(X3)........(XN))1/N
By putting
values , we get:
(1 * 4 * 6 * 9 * 4 * 8 ) 1/6
= 1152
EXAMPLE 4:
Find the geometric
mean of 1, 2 , 3.
SOLUTION:
Geometric
Mean = ((X1)(X2)(X3)........(XN))1/N
By putting
values , we get:
(1 * 2 * 3) 1/3
= 1.99
ADVANTAGES:
§
It is use to calculate the rate of change.
§
It is use in certain cases of averaging and
percentages.
§
It is
use in evaluation of certain index.
Comments
Post a Comment