According to the IQR rule of thumb for identifying suspected outliers, the upper limit is computed as (fill in the missing value):+ 1.5 \times (33.5 - 24)
Added by Heather P.
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In this case, we have the first quartile (Q1) as 24 and the third quartile (Q3) as 33.5. Show more…
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(b) Find the value of the interquartile range (IQR). IQR (c) Multiply the IQR by 1.5 and find the lower and upper limits. (Enter your answers to one decimal place:) lower limit upper limit (d) Are there any data values below the lower limit? Above the upper limit? List any suspected outliers. What might be some explanations for the outliers? Yes, 4 is below the lower limit and is probably an error. Yes, 80 is above the upper limit and is probably an error. No, there does not appear to be any outliers.
Sri K.
Consider the following data: 20,23,24,25,26,28,30,35,37,40,41,44,46,48,50,52 Find the Upper Bound, that is find: UB = Q3 + 1.5 * IQR Note: Round your answer to TWO decimal places.
Find the 5-number summary for the data shown: 17 31 33 39 41 46 52 57 58 79 85 87 89 91 5-number summary: {17, 39, 58, 87, 91} IQR = The 1.5 * IQR rule states that values between [Q1 - 1.5 * IQR] and [Q3 + 1.5 * IQR] are likely not outliers.
Kari H.
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