Answer:
0.05%
Explanation:
The sample size is missing, which I investigated and seems to be 45, the same if it is not 45, you can change this value nothing else, the procedure is totally the same.
sample size = n = 45
population proportion = 0.3333
compute Pr (p <= 0.10) from the information, we calculate the standard deviation like this:
sd = (p * (1-p) / n) ^ (1/2)
replacing we have:
sd = (0.333 * (1-0.3333) / 45) ^ (1/2)
sd = 0.0702
Here notice that
np = 45 * (0.3333) = 15 => 10
n * (p-1) = 45 * (0.6676) = 30 => 10
which indicate that the assumption for normal approximation for the sampling distribution is met:
Pr (p <= 0.10) = Pr [(p * - 0.3333) /0.0702 <= (0.10 - 0.3333) /0.0702]
Pr (p <= 0.10) = Pr (z <= -3.32)
this value represents in the table of z (attached) 0.0005
Therefore the required probability is 0.05%