Assume that your favorite statistics professor (Who else, but me!) receives an average of five e-mail messages per day from stud
ents. If the number of messages approximates a Poisson distribution, what is the probability that on a randomly selected day your professor will have five messages?
1 answer:
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Answer:
The probability that all the five flights are delayed is 0.2073.
Step-by-step explanation:
Let <em>X</em> = number of domestic flights delayed at JFK airport.
The probability of a domestic flight being delayed at the JFK airport is, P (X) = <em>p</em> = 0.27.
A random sample of <em>n</em> = 5 flights are selected at JFK airport.
The random variable <em>X</em> follows a Binomial distribution with parameters <em>n</em> and <em>p</em>.
The probability mass function of <em>X</em> is:
Compute the probability that all the five flights are delayed as follows:
Thus, the probability that all the five flights are delayed is 0.2073.
So that is what we call a ratio and it looks like this
Answer:
a)
b)
Step-by-step explanation:
a) Let the required polynomial be p(x).
We have the relation, + p(x) = 18
i.e. p(x) = 18
i.e. p(x) =
b) Let the required polynomial be q(x).
We have the relation, + q(x) = 0
i.e. q(x) = 0
i.e. q(x) =