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Identify potential outliers, if any, for the given data. The test scores of 15 students are listed below. 38 41 56 65 66 68 7

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Answer #1

Step 1)

Let's find median for given data first.

Median = _{\left ( \frac{n+1}{2} \right )^{th}} ordered value , if n odd

= Average of _{\left ( \frac{n}{2} \right )^{th}} and _{\left ( \frac{n}{2} +1\right )^{th}} ordered value , if n even.  

Given data : 38,41,56,65,66,68,70,72,74,77,78,82,87,90,99  

n = 15 ---> odd.

So, Median = _{\left ( \frac{n+1}{2} \right )^{th}} ordered value

Median = _{\left ( \frac{15+1}{2} \right )^{th}} ordered value ,

Median = 8th ordered value

Median = 72

Now let's find first Quartile (Q1)

Q1 is the median of lower half.

Lower half is the all data below median.

Lower half : 38,41,56,65,66,68,70, n = 7

So,Q1= _{\left ( \frac{n+1}{2} \right )^{th}} ordered value

Q1 = _{\left ( \frac{7+1}{2} \right )^{th}} ordered value

Q1 = 4th ordered value.

Q1 = 65

Now let's find third Quartile (Q3)

Q3 is the median of upper half.

Upper half is the all data above median.

Upper half : 74,77,78,82,87,90,99

Q3 = 82

IQR = Q_3- Q_1

IQR = 82- 65 = 17

Step 2)

Q_1 - 1.5\times IQR

65 - 1.5\times 17

39.5

Step 3)

Q_3 + 1.5\times IQR

82 + 1.5\times 17

107.5

Step 4)

39.5 < ( 41,56,65,66,68,70,72,74,77,78,82,87,90,99 ) < 107.5

Outlier is the value outside the interval ( 39.5 , 107.5 )

So, Outlier = 38

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