can mode be calculated for grouped data with unequal class sizes
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Answered by
179
Yes we can.. We need to do more computations and use an appropriate formula for that.
we calculate height of the class interval by dividing the frequency by that class width. That class which has the maximum height will be the modal class, containing the mode.
Class frequency height
10 - 15 5 5/5= 1
15 - 18 9 9/3 = 3 call this H1
18 - 25 35 35/7= 5
25 - 29 16 16/4 = 4 Call this H2
30 - 32 4 4/2 = 2
Now, class 18 - 25 contains mode.
L = lower limit of the class 18.
w = width of the class.
height differences between classes on either side of modal class:
h1 = 5 - 3 = 2
h2 = 5 - 4 = 1
Mode = L + h1 * w / (h1 + h2) = 18 + 2 * 7 /(2+1) = 68/3
= 22.6667
Also mode can be expressed as = L + H2 * w / (H1 + H2) = 18 + 4*7/(3+4)
= 22.0
we calculate height of the class interval by dividing the frequency by that class width. That class which has the maximum height will be the modal class, containing the mode.
Class frequency height
10 - 15 5 5/5= 1
15 - 18 9 9/3 = 3 call this H1
18 - 25 35 35/7= 5
25 - 29 16 16/4 = 4 Call this H2
30 - 32 4 4/2 = 2
Now, class 18 - 25 contains mode.
L = lower limit of the class 18.
w = width of the class.
height differences between classes on either side of modal class:
h1 = 5 - 3 = 2
h2 = 5 - 4 = 1
Mode = L + h1 * w / (h1 + h2) = 18 + 2 * 7 /(2+1) = 68/3
= 22.6667
Also mode can be expressed as = L + H2 * w / (H1 + H2) = 18 + 4*7/(3+4)
= 22.0
kvnmurty:
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Answered by
7
YES.
we calculate height of the class interval by dividing the frequency by that class width. That class which has the maximum height will be the modal class, containing the mode.
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