- Probability that none of the selected graduates did volunteer work.
- Probability that exactly one of the selected graduates did volunteer work.
- Probability that two or more of the selected graduates did volunteer work.
- Probability that between one and three of the selected graduates did volunteer work.
Answer:
Given data:
The probability of success, $p = 0.70$
Sample size, $n = 4$
(a) The indicated probability can be calculated by considering binomial distribution as:
$P(x = 0) = (nCx) * p^x * (1 – p)^{n – x} $
$P(x = 0) = (4C0) * 0.7^0 * (1 – 0.7)^{4 – 0}$
$P(x = 0) \approx 0.0081$
(b) The indicated probability can be calculated by considering binomial distribution as:
$P(x = 1) = (nCx) * p^x * (1 – p)^{n – x} $
$P(x = 1) = (4C1) * 0.7^1 * (1 – 0.7)^{4 – 1}$
$P(x = 1)= 0.0756$
(c) The indicated probability can be calculated by considering binomial distribution as:
$P(x \geq 2) = 1 – P(x \leq 1)$
$P(x \geq 2) = 1 – \Sigma_{x=0}^{1} (4Cx) * 0.7^x * (1 – 0.7)^{4 – x}$
$P(x \geq 2) = 1 – 0.0837$
$P(x \geq 2) = 0.9163$
(d) The indicated probability can be calculated by considering binomial distribution as:
$P(1 \leq x \leq 3) = \Sigma_{x=1}^{3} (nCx) * p^x * (1 – p)^{n – x}$
$P(1 \leq x \leq 3) = \Sigma_{x=1}^{3} (4Cx) * 0.7^x * (1 – 0.7)^{4 – x}$
$P(1 \leq x \leq 3) = 0.7599 – 0.0081$
$P(1 \leq x \leq 3) = 0.7518$