the extreme quartiles for a normal distribution are 20 and 50 respectively.find it's parameter
Answers
Answer:
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Step-by-step explanation:
Solution: We first need to sort the frequency data given to us before proceeding with the quartiles calculation –
Sorted Data – 5, 10, 15, 17, 18, 19, 20, 21, 25, 28
n(number of data points) = 10
Now, to find the quartiles, we use the logic that the first quartile lies halfway between the lowest value and the median; and the third quartile lies halfway between the median and the largest value.
First Quartile Q1 = n+14th term.
= 10+14th term = 2.75th term
= 2nd term + 0.75 × (3rd term – 2nd term)
= 10 + 0.75 × (15 – 10)
= 10 + 3.75
= 13.75
Third Quartile Q3 = 3(n+1)4th term.
= 3(10+1)4th term = 8.25th term
= 8th term + 0.25 × (9th term – 8th term)
= 21 + 0.25 × (25 – 21)
= 21 + 1
= 22
Using the values for Q1 and Q3, now we can calculate the Quartile Deviation and its coefficient as follows –
Quartile Deviation = Semi-Inter Quartile Range
= Q3–Q12
= 22–13.752
=8.252
= 4.125
Coefficient of Quartile Deviation
= Q3–Q1Q3+Q1×100
= 22–13.7522+13.75×100
= 8.2535.75×100
≈ 23.08
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