n(S)=30,A={6 defective bulbs}⇒n(A)=6
⇒ Number of non-defective bulbs = 30 − 6 = 24
4 bulbs are drawn from the lot with replacement. Let X be the random variable that denotes the number of defective bulbs in the selected bulbs.
P(X=0)=P (4 non-defective and 0 defective) 4Co=\(\frac{4}{5}.\frac{4}{5}.\frac{4}{5}.\frac{4}{5}=\frac{256}{625}\)=256/625
P (X = 1) = P (3 non-defective and 1 defective) = 4C1 \((\frac{1}{5}).(\frac{4}{5})^3=\frac{256}{625}\)
P(X=2)=4C2p2q2P (X = 2) = P (2 non-defective and 2 defective)= 4C2 \((\frac{1}{5})^2.(\frac{4}{5})^2=\frac{96}{625}\)
P (X = 3) = P (1 non-defective and 3 defective)= 4C3 \((\frac{1}{5})^3.(\frac{4}{5})=\frac{16}{625}\)
P (X = 4) = P (0 non-defective and 4 defective)= 4C4 \((\frac{1}{5})^4.(\frac{4}{5})^0=\frac{1}{625}\)
Probability distribution
Therefore, the required probability distribution is as follows.
x | 0 | 1 | 2 | 3 | 4 |
p(x) | \(\frac{256}{625}\) | \(\frac{256}{625}\) | \(\frac{96}{625}\) | \(\frac{16}{625}\) | \(\frac{1}{625}\) |
The correct IUPAC name of \([ \text{Pt}(\text{NH}_3)_2\text{Cl}_2 ]^{2+} \) is:
A random variable is a variable whose value is unknown or a function that assigns values to each of an experiment's results. Random variables are often deputed by letters and can be classified as discrete, which are variables that have particular values, or continuous, which are variables that can have any values within a continuous range.
Random variables are often used in econometric or regression analysis to ascertain statistical relationships among one another.
There are two types of random variables, such as: