Question

Difficulty: MediumMeasures of Dispersion and Position (Range, IQR, Standard Deviation, Percentiles)

Dataset PP consists of the five numbers 10,20,30,40,10, 20, 30, 40, and 5050. Dataset QQ is created by replacing the minimum value in Dataset PP with 1818 and the maximum value with 4242, leaving the remaining three numbers unchanged. Which of the following statements correctly compares the mean and standard deviation of Dataset QQ to those of Dataset PP?

  1. The mean of Dataset QQ is equal to the mean of Dataset PP, and the standard deviation of Dataset QQ is less than the standard deviation of Dataset PP.Answer
  2. B
    The mean of Dataset QQ is equal to the mean of Dataset PP, and the standard deviation of Dataset QQ is greater than the standard deviation of Dataset PP.
  3. C
    The mean of Dataset QQ is equal to the mean of Dataset PP, and the standard deviation of Dataset QQ is equal to the standard deviation of Dataset PP.
  4. D
    The mean of Dataset QQ is greater than the mean of Dataset PP, and the standard deviation of Dataset QQ is less than the standard deviation of Dataset PP.
  5. E
    The mean of Dataset QQ is less than the mean of Dataset PP, and the standard deviation of Dataset QQ is greater than the standard deviation of Dataset PP.

Answer

The mean of Dataset QQ is equal to the mean of Dataset PP, and the standard deviation of Dataset QQ is less than the standard deviation of Dataset PP.
The mean of both datasets is 30 because the decrease of 8 from 50 balances the increase of 8 to 10. Standard deviation quantifies how far data points deviate from the mean. Because 18 and 42 are closer to the mean of 30 than 10 and 50 are, the spread of Dataset Q around the mean is strictly smaller, making its standard deviation smaller.

Step-by-Step Solution

1
Calculate the mean of Dataset PP.
Mean of P=10+20+30+40+505=1505=30\text{Mean of } P = \frac{10 + 20 + 30 + 40 + 50}{5} = \frac{150}{5} = 30.
To find the baseline central tendency before the dataset values are modified.
2
Calculate the mean of Dataset QQ.
Mean of Q=18+20+30+40+425=1505=30\text{Mean of } Q = \frac{18 + 20 + 30 + 40 + 42}{5} = \frac{150}{5} = 30.
Replacing 1010 with 1818 (+8) and 5050 with 4242 (-8) results in a net change of zero to the sum, so the mean remains unchanged.
3
Compare the dispersion of Dataset QQ relative to Dataset PP.
In Dataset PP, the squared deviations of the modified points from the mean are (1030)2=400(10 - 30)^2 = 400 and (5030)2=400(50 - 30)^2 = 400. In Dataset QQ, the squared deviations of these points are (1830)2=144(18 - 30)^2 = 144 and (4230)2=144(42 - 30)^2 = 144.
Standard deviation measures the average distance of data points from the mean. Since the outer values in Dataset QQ are closer to the mean than in Dataset PP, the overall dispersion and standard deviation decrease.

Key Concept

Standard deviation measures the spread of data points around their mean; bringing extreme values closer to the mean reduces the standard deviation.
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