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Lengths of bus routes for any particular transit system will typically vary from one route to another. The article 鈥淧lanning of City Bus Routes鈥 (J. of the Institution of Engineers, 1995: 211鈥215) gives the following information on lengths (km) for one particular system:

Length6-<8 8-<10 10-<12 12-<14 14-<16

Frequency6 23 30 35 32

Length16-<18 18-<20 20-<22 22-<24 24-<26

Frequency48 42 40 28 27

Length26-<28 28-<30 30-<35 35-<40 40-<45

Frequency26 14 27 11 2

a. Draw a histogram corresponding to these frequencies.

b. What proportion of these route lengths are less than 20? What proportion of these routes have lengths of at least 30?

c. Roughly what is the value of the 90th percentile of the route length distribution?

d. Roughly what is the median route length?

Short Answer

Expert verified

a. The histogram is represented as,

b. The proportion of the route lengths that are less than 20 is 0.5524.

The proportion of the route lengths that are of at least 30 is 0.1023.

c. The 90th percentile is 30.167.

d. The median route length is 19.024.

Step by step solution

01

Given information

The data on the lengths of bus routes for any particular transit system will typically vary from one route to another is provided.

02

Construct a histogram

a.

The table is given as,

Length

Frequency

6-<8

6

8-<10

23

10-<12

30

12-<14

35

14-<16

32

16-<18

48

18-<20

42

20-<22

40

22-<24

28

24-<26

27

26-<28

26

28-<30

14

30-<35

27

35-<40

11

40-<45

2

Steps to construct a histogram are,

1) Determine the frequency or the relative frequency.

2) Mark the class boundaries on the horizontal axis.

3) Draw a rectangle on the horizontal axis corresponding to the frequency or relative frequency.

The histogram is represented as,

03

Compute the proportion

b.

The relative frequency is computed as,

\({\rm{relative frequency }} = \frac{{frequency}}{{Total\;number\;of\;observations}}\)

The table representing relative frequencies is given as,

Length

Frequency

Relative frequency

6-<8

6

0.0153

8-<10

23

0.0588

10-<12

30

0.0767

12-<14

35

0.0895

14-<16

32

0.0818

16-<18

48

0.1228

18-<20

42

0.1074

20-<22

40

0.1023

22-<24

28

0.0716

24-<26

27

0.0691

26-<28

26

0.0665

28-<30

14

0.0358

30-<35

27

0.0691

35-<40

11

0.0281

40-<45

2

0.0051

The proportion of the route lengths that are less than 20 is computed as,

\(\begin{array}{c}P\left( {x < 20} \right) &=& P\left( {6 - < 8} \right) + P\left( {8 - < 10} \right) + P\left( {10 - < 12} \right) + ... + P\left( {18 - < 20} \right)\\ &=& 0.0153 + 0.0588 + 0.0767 + ... + 0.1074\\ &=& 0.5524\end{array}\)

Therefore, the proportion of the route lengths that are less than 20 is 0.5524.

The proportion of the route lengths that are of at least30 is computed as,

\(\begin{array}{c}P\left( {x \ge 30} \right) &=& P\left( {30 - < 35} \right) + P\left( {35 - < 40} \right) + P\left( {40 - < 45} \right)\\ &=& 0.0691 + 0.0281 + 0.0051\\ &=& 0.1023\end{array}\)

Therefore, the proportion of the route lengths that are of at least 30 is 0.1023.

04

Compute the 90th percentile of the route length

c.

The 90th percentile is computed as,

\({{\bf{P}}_{{\bf{90}}}}{\bf{ = l + }}\frac{{\bf{h}}}{{\bf{f}}}\left( {\frac{{{\bf{90N}}}}{{{\bf{100}}}}{\bf{ - C}}} \right)\)

Where,

l represent the lower limit of the percentile class.

h represents the class width.

C represents the prior cumulative frequency of the percentile class.

The relative frequency is computed as,

\({\rm{relative frequency }} = \frac{{frequency}}{{Total\;number\;of\;observations}}\)

The cumulative frequency is computed by adding the prior class frequencies.

The table representing calculations is given as,

Class

Frequency

Relative frequency

Cumulative frequency

6-<8

6

0.02

6

8-<10

23

0.06

29

10-<12

30

0.08

59

12-<14

35

0.09

94

14-<16

32

0.08

126

16-<18

48

0.12

174

18-<20

42

0.11

216

20-<22

40

0.10

256

22-<24

28

0.07

284

24-<26

27

0.07

311

26-<28

26

0.07

337

28-<30

14

0.04

351

30-<35

27

0.07

378

35-<40

11

0.03

389

40-<45

2

0.01

391

The size of the sample is\(N = 391\).

The percentile class is computed as,

\(\frac{{90N}}{{100}} = 351.9\)

It can be observed that the cumulative frequency greater than 351.9 is 378. Therefore, the percentile class is 30-35 with a corresponding frequency of 27.

The 90th percentile is computed as,

\(\begin{array}{c}{P_{90}} &=& l + \frac{h}{f}\left( {\frac{{90N}}{{100}} - C} \right)\\ &=& 30 + \frac{5}{{27}}\left( {351.9 - 351} \right)\\ &=& 30 + 0.167\\ &=& 30.167\end{array}\)

Therefore, the 90th percentile is 30.167.

05

Compute the median route length

Referring to the table represented in part c,

d.

The median is computed as,

\(Median = l + \frac{h}{f}\left( {\frac{N}{2} - C} \right)\)

Where,

I represent the lower limit of the percentile class.

h represents the class width.

C represents the prior cumulative frequency of the percentile class.

The median class is computed as,

\(\frac{N}{2} = 195.5\)

It can be observed that the cumulative frequency greater than 195.5 is 216. Therefore, the median class is 18-20 with a corresponding frequency of 42.

The median is given as,

\(\begin{array}{c}Median &=& l + \frac{h}{f}\left( {\frac{N}{2} - C} \right)\\ &=& 18 + \frac{5}{{42}}\left( {195.5 - 174} \right)\\ &=& 19.0234\end{array}\)

Therefore, the median route length is 19.024.

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