1 |
In hypergometric distribution the trials are. |
Independent
Dependent
Independent and dependent
None of these
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2 |
A fair coin is tossed five the times. The probability of getting zero head is. |
1/2
1/32
6
1/5
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3 |
A four die is rolled three times. the probabiliyt of getting three area is. |
1/4
1/6
1/216
1/27
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4 |
A fair coin tossed four times, the probability of getting four heads is. |
1
1/4
1/2
1/10
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5 |
Both binomial and hypergeometric distribution are. |
Continuous probability distribution
Discrete prbability distributions
Neither continous nor discrete probability distributions.
Bivarieate distributions.
|
6 |
In which distribution the successive trials are without replacement. |
Hypergometric distribution
Bionomial dristribution
Continuous distribution
None of these
|
7 |
In which distribution the successive trails are with replacement. |
Hypergometric distribution
Bionomial distribution
Continuous distribution
None of these
|
8 |
In which distribution the probabiliyt of success remains constant from triam to triail |
Hypergometric distribution
Binomiial distribution
Sampling distribution
Continuous distribution
|
9 |
A hypergometric random variable is a (an) |
Independent variable
Continuous random variable
Discrete random variable
None of these
|
10 |
A binomial random variable is a (an) |
Constinuous random variable
Discrete random variable
Dependent varaible
Independent variable
|
11 |
the numebr of possible outcomes in a Bernoulli trial is. |
One
Two
Three
Four
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12 |
Which of the following can never be described by a binomial distributions. |
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
|
13 |
The standard deviation of a binomial distribution depends on. |
Probability of success
Probabiliyt of failure
Number of trials
Both a and c
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14 |
The mean of a binomial dristubution depends on |
Parability of success
Probability of failure
Number of trials
Botha a and c
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15 |
The mean of a binomial distribution depends on. |
Parability of success
Parababilyt of failure
Number of trials
Both a and c
|
16 |
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. |
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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17 |
For a given binomial distribution with a fixed,if p < 0.5 , than |
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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