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This online test contains MCQs about following topics:
Introduction to binomial and hypergeometric probability distribution . Binomial probability distribution . Hyperheometric distribution and hypergeometric experiment
MCQ's Test For Chapter 9 "Statistics Ics Part 1 Chapter 9 Online Test"
Try The MCQ's Test For Chapter 9 "Statistics Ics Part 1 Chapter 9 Online Test"
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Total Questions17
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Time Allowed20
Statistics Ics Part 1 Chapter 9 Online Test
00:00
Question # 1
In which distribution the successive trials are without replacement.
Question # 2
The mean of a binomial distribution depends on.
Question # 3
Mean of hypergeometric distribution is
Question # 4
The hypergeometric experiment has propeties
Question # 5
The numebr of trial in bionomial distribution is.
Question # 6
Which of the following can never be described by a binomial distributions.
Question # 7
The binomial distribution is negatively skewed if
Question # 8
The bionomial distribution is negatively skewed if.
Question # 9
In which distribution the successive trials are with replacement
Question # 10
the numebr of possible outcomes in a Bernoulli trial is.
Question # 11
The probability of failure is equal to.
Question # 12
A binomial random variable is a (an)
Question # 13
The standard deviation of a binomial distribution depends on.
Question # 14
In a hypergeometric distribution.
Question # 15
If p = q = 1/2 then distribution is called.
Question # 16
A hypergometric random variable is a (an)
Question # 17
A binomial random variable can assume the values
ICS Part 1 Statistics Chapter 9 MCQs Test
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ICS Part 1 Statistics Chapter 9 Important MCQ's
| Sr.# | Question | Answer |
|---|---|---|
| 1 | A hypergometric random variable is a (an) |
A. Independent variable
B. Continuous random variable
C. Discrete random variable
D. None of these
|
| 2 | The standard deviation of a binomial distribution depends on. |
A. Probability of success
B. Probabiliyt of failure
C. Number of trials
D. Both a and c
|
| 3 | The mean of a binomial distribution depends on. |
A. Parability of success
B. Parababilyt of failure
C. Number of trials
D. Both a and c
|
| 4 | "P" or "q" can not be greater than |
A. 1
B. 0
C. 2/3
D. 1/2
|
| 5 | In a bionial experiment, the successive trails are. |
A. Dependent
B. Independent
C. Mutually exclusive
D. FIxed
|
| 6 | The numebr of trial in bionomial distribution is. |
A. Not fixed
B. Fixed
C. Large
D. Small
|
| 7 | Binomial distribution has parameter |
A. One
B. Two
C. Three
D. Four
|
| 8 | A binomial random variable can assume the values |
A. 1,2......n
B. 0,1,2......00
C. 0,1,2......n
D. 2,4,6,8,10
|
| 9 | A binomial random variable is a (an) |
A. Constinuous random variable
B. Discrete random variable
C. Dependent varaible
D. Independent variable
|
| 10 | In a bionomial, n = 20, p = 3/5, then variance of this distribution is. |
A. 12
B. 60
C. 4.8
D. 0
|
Test Questions
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