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Problems 3:
The number of arrivals per minute at a bank located in central business district of large city was
recorded over a period of 200 minutes with the following results:
Arrival
Frequency

0
14

1
31

2
47

3
41

4
29

5
21

6
10

7
5

a. Compute the expected number of arrivals per day.
b. Compute the standard deviation.
Solution:
Xi
0
1
2
3
4
5
6
7
8

fi
14
31
47
41
29
21
10
5
2
200

Fi/∑fi
14/200
31/200
47/200
41/200
29/200
21/200
10/200
5/200
2/200

P(Xi)
0.07
0.115
0.235
0.205
0.145
0.105
0.05
0.025
0.01

Standard deviation =  = √3.14 = 1.772

(Xi x PXi)
(0x0.07)
(1x0.115)
(2x0.235)
(3x0.205)
(4x0.145)
(5x0.105)
(6x0.05)
(7x0.025)
(8x0.01)

0
0.115
0.47
0.615
0.58
0.525
0.30
0.175
0.08
2.9

(Xi-µ)2 P(Xi)
(0-2.9)2x(0.07)
(1-2.9)2x(0.115)
(2-2.9)2x(0.47)
(3-2.9)2x(0.615)
(4-2.9)2x(0.58)
(5-2.9)2x(0.525)
(6-2.9)2x(0.30)
(7-2.9)2x(0.175)
(8-2.9)2x(0.08)

0.588
0.559
0.190
0.002
0.175
0.463
0.480
0.420
0.260
3.14

8
2

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Problems 3

  • 1. Problems 3: The number of arrivals per minute at a bank located in central business district of large city was recorded over a period of 200 minutes with the following results: Arrival Frequency 0 14 1 31 2 47 3 41 4 29 5 21 6 10 7 5 a. Compute the expected number of arrivals per day. b. Compute the standard deviation. Solution: Xi 0 1 2 3 4 5 6 7 8 fi 14 31 47 41 29 21 10 5 2 200 Fi/∑fi 14/200 31/200 47/200 41/200 29/200 21/200 10/200 5/200 2/200 P(Xi) 0.07 0.115 0.235 0.205 0.145 0.105 0.05 0.025 0.01 Standard deviation =  = √3.14 = 1.772 (Xi x PXi) (0x0.07) (1x0.115) (2x0.235) (3x0.205) (4x0.145) (5x0.105) (6x0.05) (7x0.025) (8x0.01) 0 0.115 0.47 0.615 0.58 0.525 0.30 0.175 0.08 2.9 (Xi-µ)2 P(Xi) (0-2.9)2x(0.07) (1-2.9)2x(0.115) (2-2.9)2x(0.47) (3-2.9)2x(0.615) (4-2.9)2x(0.58) (5-2.9)2x(0.525) (6-2.9)2x(0.30) (7-2.9)2x(0.175) (8-2.9)2x(0.08) 0.588 0.559 0.190 0.002 0.175 0.463 0.480 0.420 0.260 3.14 8 2