First Year ICS Statistics Chapter 8 Online MCQ Test (Probability Distributions)

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ICS Part 1 Statistics Chapter 8 MCQs Test

This online test contains MCQs about following topics:

Statistics Ics Part 1 Chapter 8 Online Test

Try the Statistics Ics Part 1 Chapter 8 Online Test.

  • Total Questions17

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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

The binomial distribution deal with:

Question # 3

The number of possible outcomes in Bernoulli trial is

Question # 4

Each trial of binomial experiment results in an outcome which can be classified in two categories

Question # 5

Which of the following case is true for hypergeometric distribution.

Question # 6

Binomial distribution is used when n is

Question # 7

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

Question # 8

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

Question # 9

The binomial distribution has the following parameters.

Question # 10

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

Question # 11

Binomial distribution is positively skewed

Question # 12

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

Question # 13

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

Question # 14

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

Question # 15

The expected value of a discrete random variable is.

Question # 16

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

Question # 17

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

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Prepare All Statistics Ics Part 1 Chapter 8 Online Test MCQs With Answers


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

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