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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
MCQ's Test For Chapter 8 "Statistics Ics Part 1 Chapter 8 Online Test"
Try The MCQ's Test For Chapter 8 "Statistics Ics Part 1 Chapter 8 Online Test"
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Total Questions17
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Time Allowed20
Statistics Ics Part 1 Chapter 8 Online Test
00:00
Question # 1
In binomial distribution, the random variable has a range:
Question # 2
When x denotes the number of success in binomial experiment it is called.
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
Its value cannot be exactly examined.
Question # 5
If (E(X) = E than find arithmetic means will be.
Question # 6
The probability of success changes from trial to trial, is the property of:
Question # 7
The binomial distribution has the following parameters.
Question # 8
The number of possible outcomes in Bernoulli trial is
Question # 9
A fair coin is tossed four times the probability of getting four heads is
Question # 10
The expected value of a discrete random variable is.
Question # 11
The probability of success ------------ from one trial to another when trials are dependent
Question # 12
Which of the following distribution(s) has 3 parameters.
Question # 13
An expected value of a random variable is equal to its.
Question # 14
If X and Y are random varaibes, than E ( X - Y) is equal to.
Question # 15
Mean, Median and mode of binomial distribution can be equal if
Question # 16
The parameters of hypergeometric distribution are:
The parameters of hypergeometric distribution are:
Question # 17
If C is a non -random variabe than E (C) is.
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 binomial distribution deal with: |
A. Discrete variable
B. Continuous variable
C. None of these
|
| 2 | Its value cannot be exactly examined. |
A. Ranodm variable
B. Fixed varaible
C. Mathematical variable
D. Variable
|
| 3 | Random numbers can be generated |
A. Manually
B. Mechanically
C. Botha a and b
D. None of these
|
| 4 | An expected value of a random variable is equal to its. |
A. Variance
B. B.D.
C. Mean
D. Co - Variance
|
| 5 | A copntinuous probability distribution may be represented by. |
A. A table
B. a graph
C. A mathmethical equation
D. Botha b and c
|
| 6 | If X and Y are independent random variables , the E (XY) is equal to. |
A. E(XY)
B. E(X) E(Y)
C. XE(Y)
D. YE(X)
|
| 7 | A fair die is rolled three times. The probability of getting three "aces" is |
A. 1/3
B. 1/6
|
| 8 | 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
|
| 9 | If X and Y are random varaibes, than E ( X - Y) is equal to. |
A. E(X) + E (Y)
B. E(X) - E(Y)
C. X - E (Y)
D. E(X) - Y
|
| 10 |
For a binomial probability distribution: n = 10 & the probability of failure (q =0.6), then mean of the distribution is .
|
A. 0.6
B. 6.0
C. 10
D. 4
|
Test Questions
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