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Select the outlier in the data set.\newline6,48,54,57,58,60,62,726, 48, 54, 57, 58, 60, 62, 72\newlineIf the outlier were removed from the data set, would the mean increase or decrease?\newlineChoices:\newline(A)increase\newline(B)decrease

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Q. Select the outlier in the data set.\newline6,48,54,57,58,60,62,726, 48, 54, 57, 58, 60, 62, 72\newlineIf the outlier were removed from the data set, would the mean increase or decrease?\newlineChoices:\newline(A)increase\newline(B)decrease
  1. Identify the outlier: Identify the outlier in the data set.\newlineTo find the outlier, we can look for a number that is significantly different from the rest of the numbers in the data set. The data set is: 6,48,54,57,58,60,62,726, 48, 54, 57, 58, 60, 62, 72. At first glance, the number 66 stands out as being much lower than the rest of the numbers.
  2. Confirm outlier comparison: Confirm the outlier by comparing it to the rest of the data. We can calculate the range and see if 66 falls far outside the typical range of the data. The next lowest number is 4848, and the highest is 7272. The range of the rest of the data (excluding 66) is from 4848 to 7272, which is a range of 2424. The number 66 is 4242 units away from the next closest number, which is a significant difference compared to the range of the other numbers. This confirms that 66 is an outlier.
  3. Calculate mean with outlier: Calculate the mean of the data set with the outlier included.\newlineTo find the mean, we add up all the numbers and divide by the total count. The sum of the data set is 6+48+54+57+58+60+62+72=4176 + 48 + 54 + 57 + 58 + 60 + 62 + 72 = 417. The total count is 88. So, the mean is 417/8=52.125417 / 8 = 52.125.
  4. Calculate mean without outlier: Calculate the mean of the data set without the outlier.\newlineNow we remove the outlier 66 and calculate the new mean. The new sum is 4176=411417 - 6 = 411. The new total count is 81=78 - 1 = 7. So, the new mean is 411758.714\frac{411}{7} \approx 58.714.
  5. Determine mean change: Determine if the mean will increase or decrease after removing the outlier. Comparing the original mean 52.12552.125 with the new mean 58.71458.714, we can see that the mean has increased after removing the outlier.

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