A random variable X has the following probability distribution
Determine (i) k (ii) P (X < 3) (iii) P (X > 6) (iv) P (0 < X < 3)
X | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
P(X) | 0 | K | 2K | 2K | 3K | K2 | 2K2 | 7K2+K |
(i) It is known that the sum of probabilities of a probability distribution of random variables is one.
∴P(X=0)+P(X=1)+....+P(X=7)=1
⇒0+k+2k+2k+3k+k2+2k2+(7k2+k)=1
⇒10k2+9k-1=0
⇒(10k-1)(k+1)=0
⇒k=-\(\frac{1}{10}\) or k=-1
Since,k≥0,therefore k=-1 is not possible.
\(∴k=\frac{1}{10}\)
(ii) P (X < 3) = P (X = 0) + P (X = 1) + P (X = 2)
=0+k+2k
\(=3k=3×\frac{1}{10}=\frac{3}{10}\)
(iii) P (X > 6) = P (X = 7)
=7k2+k=\(7(\frac{1}{10})^2\)+\(\frac{1}{10}\)=\(\frac{17}{100}\)
(iv) P (0 < X < 3) = P (X = 1) + P (X = 2)
=k+2k=3k
\(=3X\frac{3}{10}\)
= \(\frac{3}{10}\)
A shop selling electronic items sells smartphones of only three reputed companies A, B, and C because chances of their manufacturing a defective smartphone are only 5%, 4%, and 2% respectively. In his inventory, he has 25% smartphones from company A, 35% smartphones from company B, and 40% smartphones from company C.
A person buys a smartphone from this shop
A shop selling electronic items sells smartphones of only three reputed companies A, B, and C because chances of their manufacturing a defective smartphone are only 5%, 4%, and 2% respectively. In his inventory, he has 25% smartphones from company A, 35% smartphones from company B, and 40% smartphones from company C.
A person buys a smartphone from this shop
(i) Find the probability that it was defective.
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: