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

Which of the following is true for binomial distribution

Question # 2

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

Question # 3

Which of the following case is true for hypergeometric distribution.

Question # 4

Variance of binomial distribution is

Question # 5

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

Question # 6

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

Question # 7

the discrete probability distributio may be represented by.

Question # 8

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

Question # 9

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

Question # 10

N-K is classified as

Question # 11

The binomial distribution is symmetrical if

Question # 12

The parameters of the binomial distributions are

Question # 13

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

Question # 14

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

Question # 15

Its value cannot be exactly examined.

Question # 16

For a binomial probability distribution:
n = 10 & the probability of failure (q =0.6), then mean of the distribution is .

Question # 17

The binomial distribution has the following parameters.

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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 binomial distribution has the following parameters.
A. p & q
B. n & q 
C. n, p & q
D. None of these
3 The probabilyt density function p (x) cannot exced.
A. zero
B. One
C. Mean
D. Infinity
4 Binomial distribution is used when n is
A. Large
B. Small
C. Negative
D. Zero
5 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
6 the discrete probability distributio may be represented by.
A. A table
B. A graph
C. A mathematical equation
D. All of these
7 A copntinuous probability distribution may be represented by.
A. A table
B. a graph
C. A mathmethical equation
D. Botha b and c
8 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
9 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)
10 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}

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