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) | \(\frac{256}{625}\) | \(\frac{256}{625}\) | \(\frac{96}{625}\) | \(\frac{16}{625}\) | \(\frac{1}{625}\) |
Rupal, Shanu and Trisha were partners in a firm sharing profits and losses in the ratio of 4:3:1. Their Balance Sheet as at 31st March, 2024 was as follows:
(i) Trisha's share of profit was entirely taken by Shanu.
(ii) Fixed assets were found to be undervalued by Rs 2,40,000.
(iii) Stock was revalued at Rs 2,00,000.
(iv) Goodwill of the firm was valued at Rs 8,00,000 on Trisha's retirement.
(v) The total capital of the new firm was fixed at Rs 16,00,000 which was adjusted according to the new profit sharing ratio of the partners. For this necessary cash was paid off or brought in by the partners as the case may be.
Prepare Revaluation Account and Partners' Capital Accounts.
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: