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Zorluk: OrtaMeasures of Dispersion and Position (Range, IQR, Standard Deviation, Percentiles)

A researcher recorded the annual rainfall totals (in inches) for a specific region over a 20-year period, forming Dataset PP. Dataset PP has a range of 1818 inches and an interquartile range (IQR) of 88 inches. A second dataset, Dataset QQ, is created by multiplying each rainfall total in Dataset PP by 1.21.2 and then subtracting 33 inches. What is the sum of the range and the interquartile range (IQR) of Dataset QQ?

  1. A
    25.225.2
  2. B
    26.026.0
  3. C
    28.228.2
  4. 31.231.2Cevap
  5. E
    37.237.2

Cevap

31.231.2
For any linear transformation of the form Y=aX+bY = aX + b, measures of spread such as range and interquartile range (IQR) are multiplied by a|a|, while the constant term bb has no effect. Multiplying the original range (1818) and IQR (88) by 1.21.2 yields a new range of 21.621.6 and a new IQR of 9.69.6. Summing these values gives 21.6+9.6=31.221.6 + 9.6 = 31.2.

Adım Adım Çözüm

1
Determine the impact of a linear transformation Y=aX+bY = aX + b on measures of dispersion.
Measures of dispersion (Range, IQR, Standard Deviation) scale by a|a| and are unaffected by the additive constant bb.
Adding or subtracting a constant shifts all data points by the same amount, leaving the distance between points unchanged, whereas multiplying by a factor scales all distances between points.
2
Calculate the range of Dataset QQ.
RangeQ=1.2×RangeP=1.2×18=21.6\text{Range}_Q = 1.2 \times \text{Range}_P = 1.2 \times 18 = 21.6
The range scales by the multiplier 1.21.2 and is not affected by subtracting 33.
3
Calculate the interquartile range (IQR) of Dataset QQ.
IQRQ=1.2×IQRP=1.2×8=9.6\text{IQR}_Q = 1.2 \times \text{IQR}_P = 1.2 \times 8 = 9.6
The IQR scales by the multiplier 1.21.2 and is not affected by subtracting 33.
4
Compute the sum of the range and the IQR of Dataset QQ.
Sum=21.6+9.6=31.2\text{Sum} = 21.6 + 9.6 = 31.2
Adding the newly calculated Range and IQR gives the required total spread measure.

Anahtar Kavram

Linear Transformations on Dispersion Metrics
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