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Mean: The outlier increases the mean by about 4.3 kilobytes.
Median: The outlier increases the mean by 0.5 kilobytes.
2, 3, 5, 2, 1, 46, 3, 7, 2, 1 We are asked to find the outlier of the given data set. An outlier is a data value that is much greater than or much less than the other values in a data set. In this case, 46 is much greater than the other sizes. Therefore, it is the outlier. To find out how this value affects the measures of center, let's analyze each measure one at a time.
The median of a numerical data set is the middle number when the values are written in numerical order. If the data set has an even number of values, the mean of the two middle values will be the median. Let's first find the median without removing the outlier. To do so, let's write the given values in numerical order. 1,1,2,2, 2, 3,3,5,7,46 Since we have an even number of data values, we have to calculate the mean of the two middle values. Median&=2+ 3/2 &⇓ Median&=2.5 Now, let's take a look at the given values without the outlier. 1,1,2,2, 2,3,3,5,7 In this case, the median is 2 kilobytes. Comparing the medians, we can see that the median with the outlier is greater. Let's calculate the difference of these medians. 2.5-2=0.5 Therefore, the outlier increases the median by 0.5 kilobytes.
The mode of a data set is the value or values that occur most often. Again, we will first find the mode for the data without removing the outlier. Let's take a look at the given values. 1,1, 2, 2, 2,3,3,5,7,46 Note that the mode is 2 kilobytes. Now, let's see at our data without the outlier. 1,1, 2, 2, 2,3,3,5,7 We can see that the mode is the same. Therefore, the outlier does not affect the mode.