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Online Tests
Statistics Ics Part 1 Chapter 9 Online Test MCQs With Answers
Question # 1
the numebr of possible outcomes in a Bernoulli trial is.
Choose an answer
One
Two
Three
Four
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Question # 2
In hyper geometric distribution n is.
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Changed
Zero
Fixed
variable
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Question # 3
The bionomial distribution is negatively skewed if.
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p < 1/2
p = 1/2
p > 1/2
p = 1
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Question # 4
In binomial each trial has
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One outcome
Two outcomes
Three outcomes
Four outcomes
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Question # 5
In which distribution the probabiliyt of success remains constant from triam to triail
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Hypergometric distribution
Binomiial distribution
Sampling distribution
Continuous distribution
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Question # 6
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 # 7
A fair coin tossed four times, the probability of getting four heads is.
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1
1/4
1/2
1/10
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Question # 8
The parameters of binomial distribution one
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p and q
q and n
n and p
n,p,q
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Question # 9
The hyper-geometric distribution has........... parameters.
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1
2
3
4
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Question # 10
If the probability of success p = 0.4 for a parability Beronouli trial, the expression 7!/3!4! (0.4)2 (0.6)2 given the probility of getting.
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Exactly three sucoseeson in seven trials
Exactlyfour successin seven trials
Three or more successes in seven trials
Four or more successes in seven trials.
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Question # 11
The numebr of trial in bionomial distribution is.
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Not fixed
Fixed
Large
Small
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Question # 12
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 # 13
The hypergeometric distribution has parameters
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Two
Three
Four
Five
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Question # 14
The binomial distribution is negatively skewed if
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P< 1/2
P = 1/2
P > 1/2
P = 1
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Question # 15
The standard deviation of a binomial distribution depends on.
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Probability of success
Probabiliyt of failure
Number of trials
Both a and c
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Question # 16
The variance of binomial distribution is
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np
nq
npq
pq
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Question # 17
Binomial distribution is positive skewed when
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p > q
p = q
p < q
p = 1/2
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Question # 18
The percentage of observations lying within the items X + 3S in the normal distribution.
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68.26%
95.44%
70.00%
99.75%
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