First, we arrange the data in ascending order:
126, 127, 131, 135, 136, 138, 141, 144, 146, 147, 151, 151, 152, 153, 154, 161, 164, 164, 166, 171
- Minimum: 126
- Maximum: 171
Since there are 20 data points, the median is the average of the 10th and 11th values: (147 + 151)/2 = 149
The first quartile (Q1) is the median of the first 10 values. This is the average of the 5th and 6th values: (136 + 138)/2 = 137
The third quartile (Q3) is the median of the last 10 values. This is the average of the 15th and 16th values: (154 + 161)/2 = 157.5
The five-number summary is 126, 137, 149, 157.5, 171.
Now, let's analyze the provided boxplots:
- Boxplot A: This boxplot shows a minimum around 120, Q1 around 130, median around 145, Q3 around 155, and maximum around 190.
- Boxplot B: This boxplot shows a minimum around 128, Q1 around 137, median around 149, Q3 around 157, and maximum around 172.
Comparing the five-number summaries from Step 1 with the boxplots, we can see that Boxplot B closely matches the calculated five-number summary (126, 137, 149, 157.5, 171). Boxplot A does not accurately represent the data.