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Online Tests
Statistics Ics Part 1 Chapter 9 Online Test MCQs With Answers
Question # 1
In hypergometric distribution the trials are.
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Independent
Dependent
Independent and dependent
None of these
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Question # 2
A binomial random variable can assume the values
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1,2......n
0,1,2......00
0,1,2......n
2,4,6,8,10
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Question # 3
The hypergeometric distribution has parameters
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Two
Three
Four
Five
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Question # 4
In a bionial experiment, the successive trails are.
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Dependent
Independent
Mutually exclusive
FIxed
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Question # 5
For a given binomial distribution with a fixed,if p < 0.5 , than
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The binomial distribution will be skewed to the left.
The binomial distribution will be skewed to the right
The binomial distributio iwll be symmetric
None of these
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Question # 6
Mean of hypergeometric distribution is
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mN/k
nK/N
k/nN
Nk/n
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Question # 7
In binomial distribution trails are
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Independent
Dependent
Both
Discrete
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Question # 8
In which distribution the successive trials are with replacement
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Hypergeometric
Binomial distribution
Continuous distribution
Discrete distribution
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Question # 9
the numebr of possible outcomes in a Bernoulli trial is.
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One
Two
Three
Four
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Question # 10
"P" or "q" can not be greater than
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1
0
2/3
1/2
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Question # 11
Which of the following can never be described by a binomial distributions.
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The number of difective items produced by an assembly process
The amount of water used by a single housheld
the numebr of students in the class who can answer this questions
All of these can always be described by a binomial distribution
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Question # 12
A binomial random variable is a (an)
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Constinuous random variable
Discrete random variable
Dependent varaible
Independent variable
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Question # 13
In binomial distribution it is impossible to find
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P(x L)
P(x=0)
P(x > 0)
P(0
≤ x
≤
∞)
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Question # 14
A four die is rolled three times. the probabiliyt of getting three area is.
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1/4
1/6
1/216
1/27
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Question # 15
The probability of failure is equal to.
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p
1 - q
P - 1
1 - P
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Question # 16
Both binomial and hypergeometric distribution are.
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Continuous probability distribution
Discrete prbability distributions
Neither continous nor discrete probability distributions.
Bivarieate distributions.
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Question # 17
A fair coin is tossed four times the probability of getting four heads is
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1/4
1/2
1/16
1
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