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Answer:
a) Probability of a randomly sampled women not being qualified for the internship = 0.223
b) Probability that at least 30 percent of the women in the sample will not meet the age requirement for the internships = 0.03216
c) A woman who does not meet the age requirement is more likely to be selected with a stratified random sample than with a simple random sample.
Step-by-step explanation:
Age | Probability
17 | 0.005
18 | 0.107
19 | 0.111
20 | 0.252
21 | 0.249
22 | 0.213
23 or older | 0.063
a) Only 20+ year olds are qualified for the internship
So, probability of being qualified for the internship = P(x ≥ 20)
Probability of not being qualified for the internship = P(x < 20) = P(x=17) + P(x=18) + P(x=19) = 0.005 + 0.107 + 0.111 = 0.223
b) According to the Central limit theorem, a sampling distribution of sample size as large as 100 selected from this population distribution will approximate a normal distribution. It also has that
Mean proportion of sampling distribution of women who do not meet the internship requirements = Population proportion of women who do not meet the internship requirements = p = 0.223
The standard deviation of the is given by
σₓ = √[p(1-p)/n]
n = sample size = 100
σₓ = √[(0.223×0.777)/100] = 0.041625833 = 0.04163
So, to obtain the probability that at least 30 percent of the women in the sample will not meet the age requirement for the internships
P(x ≥ 0.30)
We first standardize 0.30
The standardized score for any value is the value minus the mean then divided by the standard deviation.
z = (x - μ)/σ = (0.30 - 0.223)/0.04163 = 1.85
The required probability
P(x ≥ 0.30) = P(z ≥ 1.85)
We'll use data from the normal probability table for these probabilities
P(x ≥ 0.30) = P(z ≥ 1.85) = 1 - P(z < 1.85)
= 1 - 0.96784 = 0.03216
c) Probability of women not meeting the internship requirements = 0.223
Probability of women meeting the internship requirements = 1 - 0.223 = 0.777
Or
Probability of women meeting the internship requirements = P(x ≥ 20)
= P(x=20) + P(x=21) + P(x=21) + P(x ≥ 23) = 0.777
But as the stratified sample only contains women who do not meet the internship requirements, it is more likely that A woman who does not meet the age requirement is selected with a stratified random sample than with a simple random sample.
Hope this Helps!!!
Based on the information given, the probability of a randomly sampled woman not being qualified for the internship will be 0.223.
The probability of a randomly sampled woman not being qualified for the internship will be:
= P(x < 20) = P(x=17) + P(x=18) + P(x=19)
= 0.005 + 0.107 + 0.111 = 0.223
Also, the probability that at least 30 percent of the women in the sample will not meet the age requirement for the internships will be 0.03216
In conclusion, from the information given, a woman who does not meet the age requirement is more likely to be selected with a stratified random sample than with a simple random sample.
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