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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
The binomial distribution deal with:
Question # 2
In a discriete probability distribution the sum of all the probabilities is alwyas
Question # 3
Which of the following distribution(s) has 3 parameters.
Question # 4
The repeated trials of binomial experiments are
Question # 5
if X and Y are independent random varaibesl the S.D. (X-Y) is equal to
Question # 6
Each trial of binomial experiment results in an outcome which can be classified in two categories
Question # 7
The number of possible outcomes in Bernoulli trial is
Question # 8
If x is a continuous random vriable, then the function f (x) is.
Question # 9
If in binomial distribution, μ = 6, p = 3/5, the number of trial are:
Question # 10
If C is a non -random variabe than E (C) is.
Question # 11
If x is discrete random variable, then the function f (x) is.
Question # 12
In binomial distribution, the random variable has a range:
Question # 13
If we do not replace the draw cards back into the pack before the next draw, the used probability distribution will be:
Question # 14
Binomial distribution is used when n is
Question # 15
Variance of binomial distribution is
Question # 16
The mean of binomial distribution is always:
Question # 17
The probabilyt density function p (x) cannot exced.
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 x is discrete random variable, then the function f (x) is. |
A. A probability function
B. A density function
C. A probability density function
D. A distribution function
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| 2 | Its value cannot be exactly examined. |
A. Ranodm variable
B. Fixed varaible
C. Mathematical variable
D. Variable
|
| 3 | The mean of binomial distribution is always: |
A. Equal to variance
B. Less than variance
C. Greater then variance
D. None of the these
|
| 4 | The binomial distribution is symmetrical when: |
A. P > q
B. p = 1/2
C. Probability of success & probability of failure are equal
D. Both (B) and (C)
|
| 5 | 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)
|
| 6 | Random numbers can be generated mechanically by |
A. By use of digital computers
B. Probgrammable calculators
C. Ordinary calculators
D. Both a and b
|
| 7 | Random number can be generated manully by |
A. Dawing cards from numbered cards
B. Roitaing or spinning numbered wheels
C. Use of random numbers table
D. All of these
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| 8 | The probability of success ------------ from one trial to another when trials are dependent |
A. Remains constant
B. Is changed
C. One
D. Zero
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| 9 | The probability of even/odd number when a fair die rolled is: |
A. 1/6
B. 2/6
C. 1/36
D. 3/6
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| 10 | Binomial distribution is positively skewed |
A. P < 1/2
B. P > 1/2
C. P = 1/2
D. P < q < 1/2
|
Test Questions