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

Question # 2

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

Question # 3

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

Question # 4

Mean of hypergeometric distribution is

Question # 5

In hypergeometric distribution, the successive trials are.

Question # 6

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

Question # 7

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

Question # 8

The number of possible outcomes in Bernoulli trial is

Question # 9

Which of the following is true for binomial distribution

Question # 10

Its value cannot be exactly examined.

Question # 11

Variance of binomial distribution is

Question # 12

Binomial distribution is used when n is

Question # 13

The expected value of a discrete random variable is.

Question # 14

Which of the following case is true for hypergeometric distribution.

Question # 15

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

Question # 16

The parameters of the binomial distributions are

Question # 17

N-K is classified as

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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 C is a non -random variabe than E (C) is.
A. c
B. 0
C. 1
D. x
2 The probabilyt density function p (x) cannot exced.
A. zero
B. One
C. Mean
D. Infinity
3 Its value cannot be exactly examined.
A. Ranodm variable
B. Fixed varaible
C. Mathematical variable
D. Variable
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 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
6 Hypergeometric distribution is a
A. Continuous distribution
B. Discrete distribution
C. Simple distribution
D. Normal distribution
7 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
8 If (E(X) = E than find arithmetic means will be.
A. 1
B. 4
C. 0
D. 8
9 N-K is classified as
A. Success
B. Failures
C. Parameters
D. Range
10 In binomial distribution, the random variable  has a range:
A. 0,1,2...................n
B. 0,1,2,......+∞
C. -∞ to +∞
D. ∞ to +0

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