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Which variable of the following will be an illustration of discrete variable?

Which variable of the following will be an illustration of continuous variable?

A random variable $X$ assume the values $-1, 0$ and $1$ with respective probability $\frac{1}{5}$ , $K$ and $\frac{1}{3}$ , where $0 < K < 1$ and $X$ does not assume any value other than these values. What will be the value of $E(X)$ ?

Q41m

A random variable $X$ assumes the values $-2, 0$ and $2$ only with respective probabilities $\frac{1}{5}, \frac{3}{5}$ and $K$ . If $0 < K < 1$ , what will be the value of $K$ ?

Q51m

Mean and variance of a discrete probability distribution are 3 and 7 respectively. What will be $E\left(X^{2}\right)$ for this distribution ?

Q61m

For the probability distribution of a discrete random variable, $E(X) = 5$ and $E\left(X^{2}\right) = 35$ . What will be the variance of this distribution ?

Q71m

For a positively skewed binomial distribution with $n = 10$ , which of the following values might be the value of mean ?

Q81m

For which value of $x$ , the value of $p(x)$ of binomial distribution with parameters $n = 4$ and $p = \frac{1}{2}$ becomes maximum ?

Q91m

The binomial distribution has mean 5 and variance $\frac{10}{7}$ . What will be the type of this distribution ?

Q101m

Which of the following is the formula of probability of an event of not getting a success in the binomial distribution with parameters $n$ and $p$ ?

Q111m

Define discrete random variable.

Q121m

Define continuous random variable.

Q131m

Define discrete probability distribution.

Q141m

State the formula to find mean of discrete variable.

Q151m

State the formula to find variance of discrete variable.

Q161m

Mean of a symmetrical binomial distribution is 7. Find the value of its parameter $n$ .

Q171m

The parameters of a binomial distribution are 10 and $\frac{2}{5}$ . Calculate its variance.

Q181m

State the relation between the probability of success and failure in Bernoulli trials.

Q191m

State the relation between mean and variance of binomial distribution.

Q201m

The probability of failure in a binomial distribution is 0.6 and the number of trials in it is 5. Find the probability of success.