First Year ICS Statistics Chapter 7 Online MCQ Test (Random Variables)

probability distribution of a continuous random variable can be presented by.

• Formula  A
• Curve B
• Tabular form C
• None of these
  
  
  D

If x is a random variable with E(x) = 5 then E (3x - 2) =

• 0 A
• 1 B
• 13 C
• 15 D

If x is a random variable with E(x) = 5 then E(3x - 2) =

• 0 A
• 1 B
• 13 C
• All of them D

F(y₁) ≤ F(y₂) if

• y₁= y₂ A
• Y₁>y₂ B
• y₁≤y₂ C
• y≥1/2 D

A set of numerical values assigned to a sample space is called.

• Random sample A
• Random variable B
• Random numbers C
• Random experiment D

If mean = 25 and variance is also 25, then coefficient of variation is

• 100% A
• 25% B
• 20% C
• 10% D

Which one is not an example of random experiments.

• A coin is tossed and the outcome is either a head or a tail A
• A six sided aid is rolled B
• All medical insurance clams received by a company in a given year. C
• Some one of person will be admitted to a hospital emergency room during any hour. D

The probability of getting one red ball from a bag constaining 4 red, 3 white and 3 black balls is.

• 3/10 A
• 1/5 B
• 2/5 C
• 1/2 D

The sum of probabilities of events of a sample space is always.

• Equal A
• Discrete B
• Continuous C
• Always greater then oen D

The simplest form of the continues distribution is the

• Skewed distribution A
• Kurtic distribution B
• Binomial distribution C
• Uniform distribution D

When two coins are tossed simulataneously the probability of at most one head is.

• 1/2 A
• 1/4 B
• 3/4 C
• None of these D

When three coins are tossed simulatneously, P(3 heads) is.

• 3/8 A
• 1/2 B
• 1/8 C
• 1/4 D

The probability of drawing two acea from apack of 52 cards with replacement is.

• 1/169 A
• 1/10 B
• 1/4 C
• 1/256 D

Variance of σ² is equal E to (Y²) - _______?

• E (y) A
• [E(y)]² B
• E(y²) C
• None of these D

• y₁ = y₂ A
• Y₁ > y₂ B
• 
  C
• None of these D

E(x - μ) is equal to:

• E(x) A
• zero  B
• μ C
• X - μ D

a measure of the chance that an uncertain event will occur.

• An experiment A
• An event B
• A probability C
• A trail D