Answer:
It appears that your question does not include the necessary table; here it is:
Answer: a) 0.223 b) 0.0322 c) more likely
Explanation:
A) This represents the probability that a randomly selected woman does not meet the age criterion.
∑ p ( x ≤ 20 ) = p( x = 17 ) + p(x = 18 ) + p(x = 19 )
= 0.005 + 0.107 + 0.111 = 0.223
B) This indicates the probability that at least 30 out of 100 women will not fulfill the requirement.
30% of 100 is 30. The general probability that selected women will not meet the requirement is 0.223, therefore, the probability of at least 30 out of 100 not qualifying will be = 0.0322.
C) In evaluation of a stratified random sampling, we apply the standard error of proportion to the simple random sampling.
In simple random sampling, the probability = 30/100 = 0.3 (for 30 women not meeting the requirement)
The standard error of proportion =
n = number of observations = 100
p = probability of success = 0.3
Thus, the standard error of proportion = 0.0458.
This helps in determining the likelihood of 30 women who do not meet the age requirement in a stratified sampling.
P ( x ≥ 30 ) = P ( z ≥ ( 0.3 - 0.3 )/ standard error of proportion )
= P ( z ≥ (0)/0.0458) which results in P ( Z ≥ 0 ) = 0.5.
In a stratified sampling, a woman not meeting the age criteria is more likely to be selected.