The first step when calculating outliers in a data set is to find the median (middle) value of the data set. This task is greatly simplified if the values in the data set are arranged in
D. The outlier skews the dot plot to the right. Step 1: Determine whether the outlier is the smallest or largest value of the data set. The outlier here is 2, a much smaller value than the rest in
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Step 1: Arrange the numbers in the data set from smallest to largest. Step 2: Determine which numbers, if any, are much further away from the rest of the data. See more
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Finding outliers in your data is easier than you think. You can use statistics concepts to identify the threshold where outliers may fall. One of the most accurate ways is to
To determine if there are outliers we must consider the numbers that are 1.5·IQR or 15 beyond the quartiles. first quartile – 1.5·IQR = 2 – 15 = –13. third quartile + 1.5·IQR = 12 + 15 = 27. Since
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