Question
Basic Answer
Step 1: Arrange the Data in Ascending Order
First, we need to arrange the data for both weight and height in ascending order.
Weight (kgs.):
55, 56, 58, 59, 61, 62, 62, 63, 64, 65, 65
Height (cm.):
106, 108, 112, 117, 119, 121, 123, 125, 127, 130, 132
Step 2: Calculate the Quartiles
Quartiles divide the data into four equal parts. We need to find Q1 (first quartile), Q2 (median), and Q3 (third quartile).
Weight (kgs.):
- Q1 (25th percentile): Position is (11 + 1) / 4 = 3 → 58 kg
- Q2 (50th percentile): Position is (11 + 1) / 2 = 6 → 62 kg
- Q3 (75th percentile): Position is 3 * (11 + 1) / 4 = 9 → 64 kg
Height (cm.):
- Q1 (25th percentile): Position is (11 + 1) / 4 = 3 → 112 cm
- Q2 (50th percentile): Position is (11 + 1) / 2 = 6 → 121 cm
- Q3 (75th percentile): Position is 3 * (11 + 1) / 4 = 9 → 127 cm
Step 3: Calculate the Interquartile Range (IQR)
The IQR is the difference between Q3 and Q1.
Weight (kgs.):
IQR = Q3 – Q1 = 64 – 58 = 6 kg
Height (cm.):
IQR = Q3 – Q1 = 127 – 112 = 15 cm
Step 4: Compare the Dispersion
The IQR gives us a measure of the spread of the middle 50% of the data.
- Weight (kgs.): IQR = 6 kg
- Height (cm.): IQR = 15 cm
Since the IQR for height (15 cm) is greater than the IQR for weight (6 kg), the height data has a greater dispersion compared to the weight data.
Final Answer
The height data has a greater dispersion compared to the weight data, as indicated by the larger Interquartile Range (IQR) of 15 cm for height versus 6 kg for weight.
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