Answer:
The probability table is shown below.
A Poisson distribution can be used to approximate the model of the number of hurricanes each season.
Step-by-step explanation:
(a)
The formula to compute the probability of an event <em>E</em> is:

Use this formula to compute the probabilities of 0 - 8 hurricanes each season.
The table for the probabilities is shown below.
(b)
Compute the mean number of hurricanes per season as follows:

If the variable <em>X</em> follows a Poisson distribution with parameter <em>λ</em> = 7.56 then the probability function is:

Compute the probability of <em>X</em> = 0 as follows:

Compute the probability of <em>X</em> = 1 as follows:

Compute the probabilities for the rest of the values of <em>X</em> in the similar way.
The probabilities are shown in the table.
On comparing the two probability tables, it can be seen that the Poisson distribution can be used to approximate the distribution of the number of hurricanes each season. This is because for every value of <em>X</em> the Poisson probability is approximately equal to the empirical probability.
The answer is 8,000 because 19 times 421 equals 7,888 and that estimated is 8,000
Y3 = y x 3 = 4 x 3 = 12
4z = 4 x z = 4 x 6 = 24
12 + 24 - 16
Im using PEMDAS I’m not sure if you use another order of operations if you do just do the expression your way
12 + 24 = 36
36 - 16 = 20
A. 20
Answer:
Hope it helps you........
Answer:
<h3>A). O is parallel to q </h3>
if angle 2 is congruent to 6 them the slope of line o and q is equal
that is line o is parallel to q