It is given that number of accidents on a particular highway is average 4.4 per year.
a. Let X be the number of accidents on a particular highway.
X follows Poisson distribution with mean μ =4.4
The probability function of X , Poisson distribution is given by;
P(X=k) = 
b. Probability that there are exactly four accidents next year, X=4
P(X=4) = 
P(X=4) = 0.1917
Probability that there are exactly four accidents next year is 0.1917
c. Probability that there are more that three accidents next year is
P(X > 3) = 1 - P(X ≤ 3)
= 1 - [ P(X=3) + P(X=2) + P(X=1) + P(X=0)]
P(X=3) = 
P(X=3) = 0.1743
P(X=2) = 
P(X=2) = 0.1188
P(X=1) = 
P(X=1) = 0.054
P(X=0) = 
= 0.0122
Using these probabilities into above equation
P(X > 3) = 1 - P(X ≤ 3) = 1 - [ P(X=3) + P(X=2) + P(X=1) + P(X=0)]
= 1 - (0.1743 + 0.1188 + 0.054 + 0.0122)
P(X > 3) = 1 - 0.3593
P(X > 3) = 0.6407
Probability that there are more than three accidents next year is 0.6407
Mary's backpack: 25% of 65 = 0.25 * 65 = 16.25; 65 - 16.25 = $48.75
Roberto's backpack: 30% of 75 = 0.3 * 75 = 22.5; 75 - 22.5 = $52.5
Mary's backpack was a better buy because it was cheaper.
Pablo must have the same chance as Dawn of being included in the sample, in order for valid inferences to be made based on the sample.
Therefore the chance of Pablo being included in the sample must be 0.05%.
Its <span>x=−<span>1 here the answer</span></span>