Question # 1

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 hyper-geometric distribution has........... parameters.

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1

2

3

4

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

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.

In a bionomial, n = 20, p = 3/5, then variance of this distribution is.

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12

60

4.8

0

In a hypergeometric distribution.

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Mean > Variance

Mean < variance

Mean = variance

Mean = Zero

The variance of binomial distribution is

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np

nq

npq

pq

In binomial distribution it is impossible to find

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P(x L)

P(x=0)

P(x > 0)

P(0≤ x≤∞)

the numebr of possible outcomes in a Bernoulli trial is.

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One

Two

Three

Four

Binomial distribution is negatively skewed if.

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p < q

p > q

p = q

np = npq

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 parameters of binomial distribution one

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p and q

q and n

n and p

n,p,q

In a binomial distribution

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μ =σ²

μ <σ²

μ >σ²

μ = 1σ²

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

In a bionial experiment, the successive trails are.

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Dependent

Independent

Mutually exclusive

FIxed

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 binomial random variable is a (an)

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Constinuous random variable

Discrete random variable

Dependent varaible

Independent variable

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