Question # 1

If N = 40, n = 5, k = 4, then mean of hypergeometic distribution is.

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1

1/2

1/4

1/3

In which distribution the successive trials are without replacement.

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Hypergometric distribution

Bionomial dristribution

Continuous distribution

None of these

In a hypergeometric distribution.

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Mean > Variance

Mean < variance

Mean = variance

Mean = Zero

In binomial distribution trails are

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Independent

Dependent

Both

Discrete

In a binomial distribution

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μ =σ²

μ <σ²

μ >σ²

μ = 1σ²

The hypergeometric experiment has propeties

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One

Three

Four

Five

A hypergometric random variable is a (an)

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Independent variable

Continuous random variable

Discrete random variable

None of these

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

Binomial distribution has parameter

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One

Two

Three

Four

Mean of hypergeometric distribution is

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mN/k

nK/N

k/nN

Nk/n

Binomial distribution is positive skewed when

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p > q

p = q

p < q

p = 1/2

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

Both binomial and hypergeometric distribution are.

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Continuous probability distribution

Discrete prbability distributions

Neither continous nor discrete probability distributions.

Bivarieate distributions.

The bionomial distribution is negatively skewed if.

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p < 1/2

p = 1/2

p > 1/2

p = 1

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%

The variance of binomial distribution is

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np

nq

npq

pq

In which distribution the successive trials are with replacement

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Hypergeometric

Binomial distribution

Continuous distribution

Discrete distribution

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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