Answer:
The probability that all the graduated had starting salary of $40,000.00 is 0.00525.
Step-by-step explanation:
We are given that at of the Statistics graduates of a University 35%, received a starting salary of $40,000.00.
Also, 5 of them are randomly selected.
The above situation can be represented through Binomial distribution;

where, n = number of trials (samples) taken = 5 graduates
r = number of success = all 5 had starting salary of $40,000
p = probability of success which in our question is % of Statistics
graduates who received a starting salary of $40,000, i.e; 35%
<em>LET X = Number of graduates who received a starting salary of $40,000.00</em>
<u>So, it means X ~ Binom(n = 5, p = 0.35)</u>
Now, Probability that all the graduated had starting salary of $40,000.00 is given by = P(X = 5)
P(X = 5) = 
= 
= <u>0.00525</u>
<em />
<em>Hence, the probability that all the graduated had starting salary of $40,000.00 is 0.00525.</em>