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

If X and Y are random varaibes, than E ( X - Y) is equal to.

Question # 2

If x is a continuous random vriable, then the function f (x) is.

Question # 3

Mean of hypergeometric distribution is

Question # 4

Its value cannot be exactly examined.

Question # 5

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

Question # 6

The binomial distribution is symmetrical when:

Question # 7

An expected value of a random variable is equal to its.

Question # 8

The parameters of hypergeometric distribution are:

Question # 9

The probabilyt density function p (x) cannot exced.

Question # 10

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

Question # 11

Random numbers can be generated

Question # 12

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

Question # 13

The probability of success changes from trial to trial, is the property of:

Question # 14

If X and Y are independent random variables , the E (XY) is equal to.

Question # 15

The probabilyt that a continous random varaibe 'x ' takes on specific value of x is.

Question # 16

A copntinuous probability distribution may be represented by.

Question # 17

the discrete probability distributio may be represented by.

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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 The probabilyt that a continous random varaibe 'x ' takes on specific value of x is.
A. Greater thaan zero
B. Less than zero
C. Equal to Zero
D. 0 to 1
2 The number of possible outcomes in Bernoulli trial is
A. Three
B. Four
C. Two
D. One
3 Random numbers can be generated mechanically by
A. By use of digital computers
B. Probgrammable calculators
C. Ordinary calculators
D. Both a and b
4 The probabilyt density function p (x) cannot exced.
A. zero
B. One
C. Mean
D. Infinity
5 if X and Y are independent random varaibesl the S.D. (X-Y) is equal to
A. Var (X) - var (Y)
B. Var (X) + Var (Y)
C. E(X-Y)2
D. E(X + Y)2
6 A fair die is rolled three times. The probability of getting three "aces" is
A. 1/3
B. 1/6
7 The binomial distribution is symmetrical when:
A. P > q
B. p = 1/2
C. Probability of success & probability of failure are  equal
D. Both (B) and (C)
8 The mean of binomial distribution is always:
A. Equal to variance
B. Less than variance
C. Greater then variance
D. None of the these
9 If in binomial distribution, μ = 6, p = 3/5, the number of trial are:
A. 18
B. 30
C. 10
D. None of these
10 If x is a continuous random vriable, then the function f (x) is.
A. A probability function
B. A probability denaity function
C. A density function
D. Both b and c

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