A pathologist has been studying the frequency of bacterial colonies within the field of a microscope using samples of throat cultures from healthy adults. Long-term history indicates that there is an average of 2.94 bacteria colonies per field. Let r be a random variable that represents the number of bacteria colonies per field. Let O represent the number of observed bacteria colonies per field for throat cultures from healthy adults. A random sample of 100 healthy adults gave the following information.
r | 0 | 1 | 2 | 3 | 4 | 5 or more |
O | 13 | 16 | 28 | 18 | 18 | 7 |
(a) The pathologist wants to use a Poisson distribution to represent the probability of r, the number of bacteria colonies per field. The Poisson distribution is given below.P(r) =
e−λλr |
r! |
Here λ = 2.94 is the average number of bacteria colonies per field. Compute P(r) for r = 0, 1, 2, 3, 4, and 5 or more. (Round your answers to three decimal places.)
P(0) | = |
P(1) | = |
P(2) | = |
P(3) | = |
P(4) | = |
P(5 or more) | = |
(b) Compute the expected number of colonies E =
100P(r) for r = 0, 1, 2, 3, 4, and 5 or
more. (Round your answers to one decimal place.)
E(0) | = |
E(1) | = |
E(2) | = |
E(3) | = |
E(4) | = |
E(5 or more) | = |
(c) Compute the sample statistic χ2 =
|
|||
and the degrees of freedom. (Round your test statistic to three decimal places.)
d.f. | = |
χ2 | = |
from above formula:
P(0)= | 0.053 |
P(1)= | 0.155 |
P(2)= | 0.228 |
P(3)= | 0.224 |
P(4)= | 0.165 |
P(5 or more)= | 0.175 |
b)
E(0)= | 5.3 |
E(1)= | 15.5 |
E(2)= | 22.8 |
E(3)= | 22.4 |
E(4)= | 16.5 |
E(5 or more)= | 17.5 |
c)
r | p(r ) | observed | expected | chi square |
O | E | (O-E)2/E | ||
0 | 0.053 | 13 | 5.3 | 11.19 |
1 | 0.155 | 16 | 15.5 | 0.02 |
2 | 0.228 | 28 | 22.8 | 1.19 |
3 | 0.224 | 18 | 22.4 | 0.86 |
4 | 0.165 | 18 | 16.5 | 0.14 |
5 or more | 0.175 | 7 | 17.5 | 6.30 |
total | 100.00 | 100 | 19.690 |
df =categories-1 =4
X2 =19.690
p value = | 0.0006 |
reject Ho
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