题目
Problem
The following grouped frequency distribution summarises the speeds in km/h that a random sample of 225 cars were doing on a road.
| Speed (x km/h) | Number of cars |
|---|
| 20⩽x<25 | 54 |
| 25⩽x<30 | 90 |
| 30⩽x<40 | 60 |
| 40⩽x<55 | 15 |
| 55⩽x<70 | 6 |
A histogram is drawn to represent these data.
The height of the tallest bar is 10 cm.
(a) Calculate the height of the second tallest bar.
(3)
(b) Estimate how many of the 225 cars were doing a speed between 35 km/h and 57 km/h.
You must show your working clearly.
(2)
(c) Use linear interpolation to estimate the median speed in km/h for the 225 cars.
(2)
The lower quartile for these data is 25.14 km/h to 4 significant figures.
(d) Find an estimate for
(i) the upper quartile,
(ii) the interquartile range.
(4)
(e) Describe, giving a reason, the skewness of these data.
(2)
Ali suggests that a normal distribution is a suitable model for the speed that cars were doing on this road.
(f) With reference to your answer in part (e), comment on Ali’s suggestion, giving a reason for your answer.
(1)
解答
(a)
解法一
思路
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直方图高度与 frequency density 成正比。先算每组的 frequency density:频数除以组宽。最高的是 25⩽x<30,第二高的是 20⩽x<25。最高 bar 高 10 cm,用比例求第二高 bar。
答题过程
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The frequency densities are:
| Speed interval | Frequency density |
|---|
| 20⩽x<25 | 554=10.8 |
| 25⩽x<30 | 590=18 |
| 30⩽x<40 | 1060=6 |
| 40⩽x<55 | 1515=1 |
| 55⩽x<70 | 156=0.4 |
The tallest bar has frequency density 18 and height 10 cm.
The second tallest bar has frequency density 10.8.
Let its height be h cm. Then
10h=h==1810.810×1810.86.
The height of the second tallest bar is
6 cm.
(b)
解法一
思路
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35 到 57 横跨三段:
- 35 到 40 是 30⩽x<40 这一组的一半,所以取 60 的一半;
- 40 到 55 整组都包含,取 15;
- 55 到 57 是 55⩽x<70 这一组的 152,所以取 6 的 152。
答题过程
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Between 35 and 40:
105×60=30.
Between 40 and 55:
15.
Between 55 and 57:
152×6=0.8.
Therefore the estimated number of cars is
30+15+0.8=45.8.
Since this is a number of cars, the estimate is
46.
(c)
解法一
思路
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共有 225 辆车,中位数位置是 2225+1=113,也常用 112.5 做连续插值位置。前两组累计频数:54、144,所以中位数在 25⩽x<30 组内。
答题过程
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The median position is
2225=112.5.
The cumulative frequency before the class 25⩽x<30 is 54, and the frequency in this class is 90.
Using linear interpolation,
Q2===25+90112.5−54×525+9058.5×528.25.
The estimated median speed is
28.3 km/h
to 3 significant figures.
(d)(i)
解法一
思路
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上四分位数的位置是 43×225=168.75。累计频数到 30 前是 144,到 40 是 204,所以 Q3 在 30⩽x<40 组内。
答题过程
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The upper quartile position is
43×225=168.75.
This lies in the class 30⩽x<40.
Using linear interpolation,
Q3===30+60168.75−144×1030+6024.75×1034.125.
So
Q3=34.1 km/h
to 3 significant figures.
(d)(ii)
解法一
思路
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四分位距是
Q3−Q1.
题目给了 Q1=25.14,上一小题求出 Q3=34.125。
答题过程
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IQR===Q3−Q134.125−25.148.985.
So the interquartile range is
8.99 km/h
to 3 significant figures.
(e)
解法一
思路
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用四分位数判断 skewness:比较 Q2−Q1 和 Q3−Q2。如果右边距离更大,右尾更长,就是 positive skew。
答题过程
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Using
Q1=25.14,Q2=28.25,Q3=34.125,
we have
Q2−Q1==28.25−25.143.11,
and
Q3−Q2==34.125−28.255.875.
Since
Q2−Q1<Q3−Q2,
the data are positively skewed.
(f)
解法一
思路
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Normal distribution 是对称的,但上一小题说明数据是 positively skewed,所以 normal distribution 不适合作为模型。
答题过程
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Ali’s suggestion is not suitable.
The data are positively skewed, so they are not symmetric, whereas a normal distribution is symmetric.