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Measurement of Central Tendency.pptx
1.
2. Central tendency(or measurement of central tendency) is defined as “the statistical measure that identifies a
single value as representative of an entire distribution.”
Central
Tendency
Mean Median Mode
The average
of the data
The middle
value of the
data
Most commonly
accruing value
3. Mean :
The mean of a set of values or measurements is the sum of all the measurements divided by the number of
the measurements in the set .
Mean
Arithmetic
Mean
Weighted
Mean
Geometric
Mean
Harmonic
Mean
4. Here , n=number of observations
xi=sum of the all numbers
∑
Example of A.M :
A sample of five executives received the following bonus last year($000):
14.0,15.0,17.0,16.0,15.0
Solution :
= 15.4
8. The term median refers to a metric used in statistics. It is the middle number in a sorted ascending or
descending list of numbers and can be more descriptive of that data set than the average.
For ungrouped data : For grouped data :
Median = L + n/2 – Fc * h/Fm
Here, n = number of observations
Here, L= Lower limit of middle class
n = number of observations
Fc = the median class is the aggregate
population of the previous class .
Fm = population of the middle class
h = Classification
The cumulative frequency is calculated by adding each frequency from a frequency distribution
table to the sum of its predecessors.
Cumulative frequency :
9. Here, n is 5 which is odd number
Solution: After sorting the data:
10. Example of median Grouped data set
The following are the marks scored by the students in the
Summative Assessment exam.
Solution :
1. At first , from the table we calculate the cumulative frequency -
2. Then , find middle class value
Median class = (N/2)th value
= (50/2)th value
= 25th value
Median class = 30 – 40
so, L = 30 ;
h = 10;
Fm = 10;
Fc=24;
3. According to Substitute values .
Median = 30 + (25-24)*10/10
= 30+1*1
= 31
11. Example: The exam scores for ten students are: 81, 93, 84, 75, 68, 87, 81, 75, 81, 87.calculate mode
Solution: Because the score of 81 occurs the most often, it is the mode.
For grouped data the mode formula is : Mode = L + {f1/(f1+f2)}*h
Here ,
L = Lower limit of modal class
f1 = Frequency of class immediately before modal class
f2 = Frequency of class immediately after modal class
h = Width of modal class
12. Example : Suppose we have the following frequency distribution that shows the number of points scored per
game by 60 basketball players -
Solution :
1. In this example, the modal class is 11-20.
2. Knowing this, we can calculate the following values:
L = 11;
h = 9;
f1 = 8;
f2 = 14;
3. We can plug these values into the formula to calculate the mode of the distribution:
Mode = L + {f1/(f1+f2)}*h
= 11 + {8/(8+14)}*9
= 14.27
We estimate that the modal points scored is 14.27.