First Year ICS Statistics Chapter 8 Online MCQ Test (Probability Distributions)

This online test contains MCQs about following topics:

Introduction to probability distributions . Probility mass function . Probabilty density function . Simple univariate discrete and continuous distributions . Drawing of probability mass function and probability density function . Expectation and variance of the simple discrete random variable . Distribution function

ICS Part 1 Statistics Chapter 8 Test

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MCQ's Test For Chapter 8 "Statistics Ics Part 1 Chapter 8 Online Test"

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Statistics Ics Part 1 Chapter 8 Online Test

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Question # 1

the discrete probability distributio may be represented by.

Question # 2

The parameters of the binomial distributions are

Question # 3

The expected value of a discrete random variable is.

Question # 4

If we do not replace the draw cards back into the pack before the next draw, the used probability distribution will be:

Question # 5

If in binomial distribution, μ = 6, p = 3/5, the number of trial are:

Question # 6

When X denotes the number of success in binomial experiment, it is called.

Question # 7

The mean of binomial distribution is always:

Question # 8

Binomial distribution is used when n is

Question # 9

In a discriete probability distribution the sum of all the probabilities is alwyas

Question # 10

In binomial experiment successive trials are:

Question # 11

Probility density function is the probebilyt function of.............. random variable.

Question # 12

The probability of even/odd number when a fair die rolled is:

Question # 13

The binomial distribution is symmetrical when:

Question # 14

Which of the following is true for binomial distribution

Question # 15

Which of the following case is true for hypergeometric distribution.

Question # 16

If C is a non -random variabe than E (C) is.

Question # 17

Its value cannot be exactly examined.

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ICS Part 1 Statistics Chapter 8 MCQs Test

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ICS Part 1 Statistics Chapter 8 Important MCQ's

Sr.# Question Answer
1 If the random variable X denotes the number of heads when three distinet coins are tossed,then X assumes the value.
A. 0.1.2.3
B. 1,3,3,1
C. 1,2,3
D. None of these
2 A copntinuous probability distribution may be represented by.
A. A table
B. a graph
C. A mathmethical equation
D. Botha b and c
3 If X and Y are independent random variables , the E (XY) is equal to.
A. E(XY)
B. E(X) E(Y)
C. XE(Y)
D. YE(X)
4 When X denotes the number of success in binomial experiment, it is called.
A. Random variable
B. Binomial random variable
C. Continuous random variable
D. Both (B) and (C) but not (A)
5 the discrete probability distributio may be represented by.
A. A table
B. A graph
C. A mathematical equation
D. All of these
6 Hypergeometric distribution is a
A. Continuous distribution
B. Discrete distribution
C. Simple distribution
D. Normal distribution
7 The probability of success ------------ from one trial to another when trials are dependent
A. Remains constant
B. Is changed
C. One
D. Zero
8 A fair die is rolled three times. The probability of getting three "aces" is
A. 1/3
B. 1/6
9 In a discriete probability distribution the sum of all the probabilities is alwyas
A. 0
B. 1
C. -1
D. 8
10 The number of possible outcomes in Bernoulli trial is
A. Three
B. Four
C. Two
D. One

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