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

• 4/10 A
• 2/10 B
• 1/10 C
• 0 D

F(-∞) is always equal to.

• Zero A
• One B
• Two  C
• Negative one D

Which of the following is suitable for discrete probability distribution.

• Frequency polygon A
• Probability B
• Ogive C
• Histogram D

The probability of an event connot be.

• = 0 A
• > 0 B
• =1 C
• < 0 D

Why are the outcomes of a coin tossing mutually exclusive.

• The outcome of any toss is not affected by teh outcome of those preceding it. A
• Both a head and a tail cannot turn up on any one toss B
• The probability of getting a head and the probability of getting a tail is the same. C
• All of these D

Coefficient  of variation (C.V) is given below

• Mean /S.D x10 A
• Mean/S.D x 100 B
• S.D/Mean x 100  C
• S.D/ Mean  D

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

• 100% A
• 25% B
• 20% C
• 10% 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

What is the probability that a value chosen at random from a particular population is larger than the median of the popultion.

• 0.25 A
• 0.5 B
• 1.0 C
• 0.67 D

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

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

For a constant K ,the variance of K.

• Zero A
• A^-2 B
• K 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
• All of them D

The simplest form of the continuous distribution is the.

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

The coins are tossed, the porbability of two tails is euql to.

• 1/2 A
• 1/4 B
• 3/4 C
• 1 D

The simple probability of occurrence of an event in called the.

• Joint probability A
• Conditional probability B
• Marginal probability C
• Subjective probability D

the collection of all possible outcome of a random experimnet is called.

• Sample point A
• Sure event B
• sample event C
• simple event D