Sometimes we need to determine if data is actually “normal”. Determine if the data set includes more than 1 outlier.
85,53,70,10,11,40,10,65,55,25
1. What is my 5 number summary?
2. What is my interquartile range?
3. What is an outlier in my data set?
4. Do I have any outliers in the lower part of my data set?
Answer)
First we need to arrange the data in ascending order
10, 10, 11, 25, 40, 53, 55, 65, 70, 85
A)
Five number summary includes
Minimum, Q1, median, Q3, maximum
Minimum = 10
Q1= middlemost number of first half = 11
Median = middlemost number = 46.5 {in between 40 and 53}
Q3 = middlemost number of second half = 65
Maximum = 85
So, five number summary is
10, 11, 46.5, 65, 85
2)
Interquartile range is = Q3 - Q1 = 65 - 11 = 54
3)
Outlier is any thing below Q1 - (IQR*1.5) and anything above Q3 + (IQR*1.5)
11 - (54*1.5) = -70
65 + (54*1.5) = 146
Clearly there is no number below 70 or above 146
So there are no outlier
4)
No
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