A random variable X has the following probapality mass function?
X -2 3 1 P(X = x) \(\frac { \lambda }{ 6 } \) \(\frac { \lambda }{ 4 } \) \(\frac { \lambda }{ 12 } \) Then __________ 

If the mean and S.D of a binomial distribution are 12 and 2 respectively, then ___________

If F(x) is a distribution function of a random variable then the false statement is ____________

If X is a continuous random variable then which of the following is incorrect?

If x is a continuous random variable then P(x ≥ a) = ________

If x is a continuous random variable then \(P\left( x\ge a \right) =\) __________.

A die is thrown 10 times. Getting a number greater than 3 is considered a success. The S.D of the number of successes is _________

If the mean and variance of a binomial variate are 2 and 1 respectively, the probability that X takes a value greater than one is equal to__________.

The sum of the mean and variance of a binomial distribution for 6 total is 2.16. Then the probability of success p =__________

A coin is tossed 3 times. The probability of getting exactly 2 heads is________

In a binomial distribution n = 4, \(P(X=0)=\frac { 16 }{ 81 } \) then P(X = 4) is __________.

The variance of a binomial distribution is________.

If the p.d.f. \(f(x)=\{ \begin{matrix} \cfrac { x }{ 2 } ,0 then \(\\ \\ \\ E\left( { 3x }^{ 2 }-2x \right) \) =_______.

Var (2x ± 5) is =________

A die is tossed 5 times. Getting an odd number is considered a success. Then the variance of distribution of number of success is _____________