Banner Mattress and Furniture Company wishes to study the number of credit applications recelved per day for the last 300 days. The sample information is reported below. Number of Credit Applications Frequency (Number of Days) 50 1. 77 81 48 4. 31 5 or more 13 es picture Click here for the Excel Data File To interpret, there were 50 days on which no credit applications were received, 77 days on which only one application was received, and so on. Would it be reasonable to conclude that the population distribution is Poisson with a mean of 2.0? Use the 0.05 significance level. Hint To find the expected frequencies use the Poisson distribution with a mean of 2.0. Find the probability of exactly one success given a Poisson distribution with a mean of 2.0. Multiply this probability by 300 to find the expected frequency for the number of days in which there was exactly one application. Determine the expected frequency for the other days in a similar manner.

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Banner Mattress and Furniture Company wishes to study the number of credit applications recelved per day for the last 300 days.
The sample Information is reported below.
Number of Credit
Applications
Frequency
(Number of Days)
50
77
1.
81
48
4.
31
5 or more
13
es
picture Click here for the Excel Data File
To interpret, there were 50 days on which no credit applications were received, 77 days on which only one application was received,
and so on. Would it be reasonable to conclude that the population distribution is Poisson with a mean of 2.0? Use the 0.05 significance
level. Hint To find the expected frequencies use the Poisson distribution with a mean of 2.0. Find the probability of exactly one
success given a Poisson distribution with a mean of 2.0. Multiply this probability by 300 to find the expected frequency for the number
of days in which there was exactly one application. Determine the expected frequency for the other days in a similar manner.
Transcribed Image Text:Banner Mattress and Furniture Company wishes to study the number of credit applications recelved per day for the last 300 days. The sample Information is reported below. Number of Credit Applications Frequency (Number of Days) 50 77 1. 81 48 4. 31 5 or more 13 es picture Click here for the Excel Data File To interpret, there were 50 days on which no credit applications were received, 77 days on which only one application was received, and so on. Would it be reasonable to conclude that the population distribution is Poisson with a mean of 2.0? Use the 0.05 significance level. Hint To find the expected frequencies use the Poisson distribution with a mean of 2.0. Find the probability of exactly one success given a Poisson distribution with a mean of 2.0. Multiply this probability by 300 to find the expected frequency for the number of days in which there was exactly one application. Determine the expected frequency for the other days in a similar manner.
Applications
fo
fe
(fo-fe)?/fe
0.
1
3
4
5 or more
Total
Transcribed Image Text:Applications fo fe (fo-fe)?/fe 0. 1 3 4 5 or more Total
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