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

In binomial distribution, the random variable  has a range:

Question # 2

The binomial distribution deal with:

Question # 3

The parameters of hypergeometric distribution are:

Question # 4

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

Question # 5

The number of possible outcomes in Bernoulli trial is

Question # 6

N-K is classified as

Question # 7

if X and Y are independent random varaibesl the S.D. (X-Y) is equal to

Question # 8

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

Question # 9

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

Question # 10

If the random variable X denotes the number of heads when three distinet coins are tossed,then X assumes the value.

Question # 11

If (E(X) = E than find arithmetic means will be.

Question # 12

Variance of binomial distribution is

Question # 13

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

Question # 14

Random numbers can be generated mechanically by

Question # 15

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

Question # 16

The probability of success ------------ from one trial to another when trials are dependent

Question # 17

If x is discrete random variable, then the function f (x) is.

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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 parameters of the binomial distributions are
A. x and n
B. x and p
C. p and q
D. n and p
2 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)
3 In binomial distribution, the random variable  has a range:
A. 0,1,2...................n
B. 0,1,2,......+∞
C. -∞ to +∞
D. ∞ to +0
4 The binomial distribution has the following parameters.
A. p & q
B. n & q 
C. n, p & q
D. None of these
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 Random numbers are generated from the single digit numbers.
A. { 1,2,3,............. 10 }
B. { 0, 1,2,.......................... 10}
C. { 0,1,2.............}
D. {0,1,2,............. 9}
7 The mean of binomial distribution is always:
A. Equal to variance
B. Less than variance
C. Greater then variance
D. None of the these
8 The probabilyt density function p (x) cannot exced.
A. zero
B. One
C. Mean
D. Infinity
9 A fair coin is tossed four times the probability of getting four heads is
A. 1/4
B. 1/2
C. 4/6
D. 1
10 Its value cannot be exactly examined.
A. Ranodm variable
B. Fixed varaible
C. Mathematical variable
D. Variable

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