Answer: the hypothesized distribution is
where parameter needs to be estimated from the data. Thus, r 1.
To proceed, we first determine appropriate intervals Ai such that ni 5for
all i; these are shown in the first column of Table 10.5. Hence, k 11.
The maximum likelihood estimate for is given by
The substitution of this value for parameter in Equation (10.11) permits us to
calculate probabilities P(Ai)pi. For example,
Table 10.4 One-minute arrivals, for Example 10.3
Vehicles per minute (No.) Number of occurrences
00
10
21
33
45
57
613
712
88
99
10 13
11 10
12 5
13 6
14 4
15 5
16 4
17 0
18 1
n 106
324 Fundamentals of Probability and Statistics for Engineers
pX
x
xe
x!
;x 0 ; 1 ; 2 ;...;
10 :1 1
^x^1
n
Xn
j 1
xj 9 : 09 :
p 1
X^4
j 0
pX
j 0 : 052 ;
p 2 pX
5 0 : 058 :