Final answer:
To find the probabilities, we need to use the binomial probability formula and calculate the expressions for each case.
Step-by-step explanation:
In order to find the probability in each case, we need to use the binomial probability formula:
P(X = k) = (n choose k) * p^k * (1-p)^(n-k)
where:
n = sample size
k = number of trials with the specified outcome
p = probability of the specified outcome
For the given question:
a) Exactly 32: n = 45, k = 32, p = 0.72
Plugging in the values, we get:
P(X = 32) = (45 choose 32) * 0.72^32 * (1-0.72)^(45-32)
Calculating this expression will give us the probability.
b) At most 34: We need to find P(X ≤ 34). Using the binomial cumulative distribution function, we can find the probability of X being less than or equal to 34.
c) At least 33: We need to find P(X ≥ 33). Again, using the binomial cumulative distribution function, we can find the probability of X being greater than or equal to 33.
d) Between 29 and 36 (inclusive): We need to find P(29 ≤ X ≤ 36). Using the binomial cumulative distribution function, we can find the probability of X being between 29 and 36 (inclusive).