measures of central tendencies
Measures
of central tendencies
Quantitative data of large
numbers generally exhibit a common characteristics that they have a tendency to
concentrate at certain values usually somewhere in the centre of the
distribution. Such concentration of items in the central part of the
distribution is known as central tendencies.
Arithmetic
mean
Merits
1.
Mean
is the average value of scores be easily calculated using mathematical methods.
2.
Mean
is a central tendency, the deviation on either side of which is equal.
3.
Mean
is very sensitive, change in any obtained score of the group can change it, so
it is considered to be the real representative of scores of any group.
4.
Mean
is more reliable than other central tendencies.
Demerits
1.
Mean
represents the score of a group only, when the distribution of scores is
normal.
2.
Mean
represents the scores of a group only in the condition when the scores are
homogeneous.
3.
It
can be used only in that condition when the data are given on interval scale or
in the form of scores.
Utility and importance of mean in education
1.
when
midpoint of scores of a group is to be known.
2.
When
the scores of a group are to be evaluated according to their value
3.
When
the scores of 2/more groups are to be compared.
4.
When
deviation or co-efficient of correlation of the scores have to be calculated.
5.
It
is needed in educational research
Median
Median is a
central tendency which divides the scores of a group into two equal parts. In
such a way the scores of one part are more than it and the scores of another
part is less than it.
Merits
1.
Median
is the exact mid value of scores of a group arranged in rank order. So it is
suitable for comparison and analysis of other scores in the group.
2.
When
deviation of scores of a group is abnormal or the value of some scores is too
large or too low as compared to other scores, then median is more useful than
mean
3.
Median
is more useful for qualitative analysis of scores of a group as compared to
other central tendencies.
4.
The
median displayed by a groups in graph can also be used to analysis the scores
of other groups by median.
Limitation
1. Median can be found out for the
scores of a group and not for the scores of two groups.
2.
Median
is a fixed value of scores of a group, so it is necessary to arrange all scores
in rank order. In case of a large group, it requires more time and energy.
Utility in education
1.
When
the distribution of scores of a group is not normal
2.
When
all scores of a group are not received.
3.
When
we have to find out the situation of a particular person in a group, whether he
comes in the first 50% or last 50%.
4.
It
is necessary for research purpose.
Mode (the
highest frequency of scores)
Merits
1.
Mode
is any given scores od a group can be easily find out, including the abnormal
scores.
2.
Mode
of a score of a group can be found out by graph also. It is that part, the
height of which in the frequency curve is tallest.
3.
When
the value of scores of a group are too high or too low as compared to other
scores in the group, even in that situation, mode is not affected
4.
Mode
is more useful for qualitative analysis of scores of a group.
Limitations
1.
When
no score is in mode the two or more scores with high difference come under the
category of mode, in such situation mode is meaningless.
2.
Mode
is a guessed central tendency, so it is less useful for statistical
calculations
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