A technician suspect that the number of computer errors recorded per day in the LAN follows a Poisson distribution with a mean of 2 errors per day. Record of the number of errors per day for the past 260 days are shown in table below. Number of Number of Pr(X = x) E (0, – e) Errors per days ei day 77 1 90 2 55 3 30 4 or more 8 a. Test the hypothesis that the number of computer errors per day has the Poisson distribution with mean 2 at the 5% significance level. ualu ticticc in (a) mate ualue

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A technician suspect that the number of computer errors recorded per day in
the LAN follows a Poisson distribution with a mean of 2 errors per day. Record
of the number of errors per day for the past 260 days are shown in table
below.
Number of
Number of
Pr(X = x)
E
(0; – e;)
Errors per
days
ei
day
77
1
90
2
55
3
30
4 or more
a. Test the hypothesis that the number of computer errors per day has the
Poisson distribution with mean 2 at the 5% significance level.
b. Find an approximate value of the p – value for the test statistics in (a).
8
Transcribed Image Text:A technician suspect that the number of computer errors recorded per day in the LAN follows a Poisson distribution with a mean of 2 errors per day. Record of the number of errors per day for the past 260 days are shown in table below. Number of Number of Pr(X = x) E (0; – e;) Errors per days ei day 77 1 90 2 55 3 30 4 or more a. Test the hypothesis that the number of computer errors per day has the Poisson distribution with mean 2 at the 5% significance level. b. Find an approximate value of the p – value for the test statistics in (a). 8
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