Which measure of central tendency is the most affected by extreme items or outliers of data?
Which measure of central tendency is the most affected by extreme items or outliers of data?
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1 Answer
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Arithmetic mean is the measure of central tendency that is most affected by extreme items or outliers in the dataset. The reason behind this is since mean is calculated by summing up all the values and after that, it is divided by the number of values. Extreme values may disproprotionately impact the sum which in turn skews the mean and make it less represenative of dataset as whole.
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Variance =
α2 + β2 = 897.7 × 8
= 7181.6
xi | fi | c.f. |
0 – 4 4 – 8 8 – 12 12 – 16 16 – 20 | 2 4 7 8 6 | 2 6 13 21 27 |
So, we have median lies in the class 12 – 16
I1 = 12, f = 8, h = 4, c.f. = 13
So, here we apply formula
20 M = 20 × 12.25
= 245
212 + a + b = 330
⇒ a + b = 118
= 3219
11760 + a2 + b2 = 19314
⇒ a2 + b2 = 19314 – 11760
= 7554
(a + b)2 –2ab = 7554
From here b = 41.795
a + b = 118
⇒ a + b + 2b = 118 + 83.59
= 201.59
Kindly go throuigh the solution
Given
&
(i) & (ii)
Now variance = 1 given
->(a - b) (a - b + 4) = 0
Since
Variance =
Let 2a2 – a + 1 = 5x
D = 1 – 4 (2) (1 – 5n)
= 40n – 7, which is not
As each square form is
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