MCQs of Statistics – RANDOM VARIABLE AND PROBABILITY DISTRIBUTIONS

Discrete random variable is real valued function defined on a _________ sample space.

E(ax + b) = A E(x) +__________

If E (ax) = ______

If E(x) is the expected value of X then E[x – E(x)]= ________

The variance of randomvariable of x then var(x) = E[x-E[x]² = E[________]

A random variable may be _____

The basic random numbers are ______

Two digit random numbers are ________

The time taken by an athlete to run a 400 mile race in SAF games _______

The mathematical exception of x + y is equal to ______

______ are the numbers obtained by some random process.

Experiment in which outcomes vary from trial to trial ________

Random numbers are used for selection of ______

A function probability that a random variable of x has a value less than is called________

A random variable is that whose value is determined by the outcome of ______-

A continuous random variable which can assume all possible values on scale in a given ______

A random variable is ____

Random numbers are also called________

Hourly temperature recorded by weather bureau is the example of ______

The number of defective bulbs in a lot is example of ______

Var (kY)= ________

If a & b are constants, then Var (a + bX) equal to________

For two independent random variables X & Y, Var (x ± y)=…….________

For discrete random ‘X’, the expectation of X i.e., E(x) is equal to:________

Coefficient of variation (C.V) is given below:______

A discrete probability distribution may be represented by

If c is non-random variable, the E(C) is

For a random variable X, E(X) is

The probability function is always

Probability of occurrence of an event lies between

Probability distribution of a random variable is also know as Probability

Total Area under the curve in probability of density function is?

For a probability density function (pdf), the probability of a single point is

The distribution function F(X) is represent by

What is the probability that a ball drawn at random from a jar?

For distribution Function F(X),F(-∞)=0 and F(∞)= ?