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

Which of the following is suitable for discrete probability distribution.

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

Which of the following cannot be probability of an event.

• 0 A
• 1 B
• 0.32 C
• 1.00 D

Which is the impossible event when a dice is rolled.

• 5 or 6 A
• 6 or 7 B
• 2 or 3 C
• 1 D

If a Vann diagram is drawn for events A and B which are mutually exclusive, which f the folloiwng would always be true of A and B.

• Theire parts of the rectangle will overlap A
• Their parts fo the rectangle will be equal in area B
• Their parts of the rectangle will not overlap C
• None of these D

If x and y are independent random variables, E(xy)

• E(XY) A
• xE(y) B
• E(XY) C
• E(X) . E(Y) D

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

• 1/2 A
• 1/4 B
• 3/4 C
• 1 D

When two dice are rolled, the numebr of possible sample points is.

• 6 A
• 12 B
• 36 C
• 48 D

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

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

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

The result of no interest of an experiment is called.

• Contstant A
• even B
• Failure C
• Success D

Waht is the probability that a ball drawn at random from the bag is.

• 0.1 A
• 0.4 B
• 1.0 C
• Cannot be determined from given information 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

Is the tossing of two perfect coins the probability at least one head occur is.

• 1/4 A
• 1 B
• 1/2 C
• 3/4 D

If y =-7x then E(y) = ...............

• E(x) A
• -7X B
• -7E(X) C
• Zero D

E(y-μ) is equal to

• E(y) A
• μ B
• zero C
• y-μ D

If the random variable x denotes the number of heads of when three distinct coins are tossed k the X assumes values.

• 0,1,2,3 A
• 1,3,3,1 B
• 1,2,3 C
• 1,1,1,1 D

E(Y2) -[E(y)]2 is the formula, and to compute.

• Variance of the random variable A
• Mean of the random variable B
• Both A and B C
• None of these D