The following table shows the probability distribution of smart phones sold in a shop per day:
Number of smart phones $(x)$$0$$1$$2$$3$$4$$5$
Probability $(P(x))$$k$$0.3$$0.15$$0.15$$0.1$$2k$

Then $E(x) = ?$

  • A
    $2.45$
  • B
    $2.55$
  • C
    $0.55$
  • D
    $0.75$

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If a random variable $X$ has the following probability distribution, then its variance is
$X=x$$1$$3$$5$$2$
$P(X=x)$$3 K^2$$K$$K^2$$2 K$

Find the variance of the number obtained on a throw of a fair die.

The cumulative distribution function (c.d.f.) $F(x)$ of a discrete random variable $X$ is given by the following table:
$X$$-3$$-1$$0$$1$$3$$5$$7$$9$
$F(X)$$0.1$$0.3$$0.5$$0.65$$0.75$$0.85$$0.90$$1$

Then,find $P[X=3]$.

Let a sample space be $S = \{\omega_{1}, \omega_{2}, \dots, \omega_{6}\}$. Which of the following assignments of probabilities to each outcome is valid?
Outcome$\omega_1$$\omega_2$$\omega_3$$\omega_4$$\omega_5$$\omega_6$
$(e)$$0.1$$0.2$$0.3$$0.4$$0.5$$0.6$

$A$ manufacturing company noticed that $1 \%$ of its products are defective. If a dealer orders for $300$ items from this company,then the probability that the number of defective items is at most one is

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