A discrete random variable X can take all possible integer values from 1 to K each with a probability `(1)/(K)` Its variance is

A random variable X can take all non-negative integral values and the probabililty that X takes the value r is proportional to alpha^(r)(0

The distribution of a random variable X is goven below The value of k is

A discrete random variable X has the following probability distribution the value of C and the mean of the distribution are

A random variable X has the follwing probability distribution: Find k.

A random variable X has the following probability distribution find K.

A random variable X takes values 0, 1, 2, 3,… with probability proportional to (x+1)((1)/(5))^x . P(Xge2) equals

Consider the following statement: 1. A continuous random variable can take all values in an interval. 2. A random variable which takes a finite number of values is necessarily discrete. 3. Construction of a frequency distribution is based on data which are discrete. Which of the above statements are correct ?