Question # 1

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

The hypergeometric distribution has parameters

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Two

Three

Four

Five

In binomial distribution it is impossible to find

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P(x L)

P(x=0)

P(x > 0)

P(0≤ x≤∞)

Binomial distribution is negatively skewed if.

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p < q

p > q

p = q

np = npq

A fair coin is tossed five the times. The probability of getting zero head is.

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1/2

1/32

6

1/5

The bionomial probability distribution is symmetrical when

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p = q

p < q

p > q

np > npq

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

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

In binomial distribution trails are

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Independent

Dependent

Both

Discrete

The bionomial distribution is negatively skewed if.

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p < 1/2

p = 1/2

p > 1/2

p = 1

The mean of a binomial distribution depends on.

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Parability of success

Parababilyt of failure

Number of trials

Both a and c

Mean of hypergeometric distribution is

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mN/k

nK/N

k/nN

Nk/n

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%

In a bionial experiment, the successive trails are.

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Dependent

Independent

Mutually exclusive

FIxed

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

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

In which distribution the successive trials are with replacement

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Hypergeometric

Binomial distribution

Continuous distribution

Discrete distribution

For positively skewed binomial distribution

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P = 0

P < 0.5

P > 0.5

P = 0.5

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