In: Statistics and Probability
a) Construct a 99% confidence interval for the true proportion of all female students who were on a diet at the time of this study.
b) Explain what this interval means.
c) Is it reasonable to think that only 17% of college women are on a diet?
a) P(A) = Probability that the red die comes out to be a 4 or a 5
= 2/6 = 1/3
Therfore P(A) = 1/3 is the required probability here.
P(B) = Probability that the green die is a 1.
= 1/6
Therefore P(B) = 1/6 is the required probability here.
P(C) = Probability that the dice sum is 7 or 8:
Sum of 7 is obtained as: 1 + 6, 2 + 5, 3 + 4, 4 + 3, 5 + 2 or 6 + 1
that is 6 cases.
Sum of 8 is obtained as: 2 + 6, 3 + 5, 4 + 4, 5 + 3 or 6 + 2 that
is 5 cases.
Total cases: 6*6 = 36
Therefore the probability now is computed here as:
= (6 + 5)/36
= 11/36
Therefore 11/36 is the required probability here.
b) The probability here are computed using Bayes theorem as:
P(A | C) = P(A and C) / P(C)
= Prob. that red die is 4 or 5 and the sum is a 7 or an 8 / P(C)
4 + 3, 4 + 4, 5 + 2, or 5 + 3 are the 4 cases here.
Therefore the probability here now is computed as:
= 4 / 11
Therefore 4/11 is the required probability here.
P(A | B) : Given that green die gets a 1, probability that there is a 4 or a 5 on blue die is computed here as:
= P(A) because A and B are independent events. Whatever happens on green die wont have an effect on the outcome of blue die.
= 1/3
Therefore 1/3 is the required probability here.