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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  • Total Questions17

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Statistics Ics Part 1 Chapter 8 Online Test

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Question # 1

The probabilyt density function p (x) cannot exced.

Question # 2

The parameters of hypergeometric distribution are:

Question # 3

Mean, Median and mode of binomial distribution can be equal if

Question # 4

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

Question # 5

Which of the following is true for binomial distribution

Question # 6

The hypergeometric distribution has -------------- parameters

Question # 7

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

Question # 8

A fair coin is tossed four times the probability of getting four heads is

Question # 9

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

Question # 10

the discrete probability distributio may be represented by.

Question # 11

In binomial distribution, the random variable  has a range:

Question # 12

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

Question # 13

N-K is classified as

Question # 14

Random numbers can be generated mechanically by

Question # 15

Random number can be generated manully by

Question # 16

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

Question # 17

The number of possible outcomes in Bernoulli trial 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 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 The mean of binomial distribution is always:
A. Equal to variance
B. Less than variance
C. Greater then variance
D. None of the these
3 Which of the following case is true for hypergeometric distribution.
A. Probability remains constant for all trials
B. Probability changes
C. successive trials are dependent
D. Both (B) and (C) but not (A)
4 When we draw the sample with replacement (the first sample is replaced before the next draw), the probability distribution to be used is:
A. Binomial
B. Hypergeometric
C. Both Binomial & hypergeometric
D. None of these
5 The probability of success changes from trial to trial, is the property of:
A. Binomial experiment
B. Hypergeometric experiment
C. Both A and B
D. None of these
6 The probabilyt density function p (x) cannot exced.
A. zero
B. One
C. Mean
D. Infinity
7 The repeated trials of binomial experiments are
A. Dependent
B. Independent
C. Fixed
D. Variable
8 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
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 The parameters of hypergeometric distribution are:
A. n,k & p
B. n, k & q
C. n, p & q
D. n, k &  N

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