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Each describe a sample. The information given includes the five number summary, the sample size, and the largest and smallest data values in the tails of the distribution. In each case: (a) Clearly identify any outliers, using the IQR method. (b) Draw a boxplot. Five number summary: (5,10,12,16,30)\(;\) \(n=40 .\) Tails: \(5,5,6,6,6, \ldots, 22,22,23,28,30 .\)

Short Answer

Expert verified
The outliers identified using the IQR method are the numbers 28 and 30.

Step by step solution

01

Calculating the Interquartile Range (IQR)

The IQR is the 3rd Quartile (Q3) subtract the 1st Quartile (Q1). From the given five-number summary, Q3 = 16 and Q1 = 10. Therefore, \(IQR = Q3 - Q1 = 16 - 10 = 6\).
02

Identifying Outliers

To identify if there are any outliers, calculate the boundaries, which are 1.5 * IQR below Q1 and above Q3. Below Q1 is \(10 - 1.5*6 = -1\) and above Q3 is \(16 + 1.5*6 = 25\). Datas beyond these values are considered to be the outliers. Looking at the numbers in the tails of the distribution, the numbers 28 and 30 are the outliers because they are above 25.
03

Drawing a Boxplot

For drawing the boxplot, mark the minimum, Q1, median, Q3 and the maximum values from the five number summary on the number line. In this case, minimum = 5, Q1 = 10, median = 12, Q3 = 16 and maximum = 30. Next, construct a box from Q1 to Q3 and draw a vertical line at the median. Then, draw lines (whiskers) from the box to the minimum and maximum values not including the outliers. The outliers are represented as individual points beyond the whiskers.

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