Question # 1

The probability of failure is equal to.

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p

1 - q

P - 1

1 - P

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

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12

60

4.8

0

In binomial distribution it is impossible to find

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P(x L)

P(x=0)

P(x > 0)

P(0≤ x≤∞)

In a hypergeometric distribution.

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Mean > Variance

Mean < variance

Mean = variance

Mean = Zero

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

In binomial distribution trails are

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Independent

Dependent

Both

Discrete

The hypergeometric experiment has propeties

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One

Three

Four

Five

The hypergeometric distribution has parameters

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Two

Three

Four

Five

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

A fair coin tossed four times, the probability of getting four heads is.

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1

1/4

1/2

1/10

In hyper geometric distribution n is.

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Changed

Zero

Fixed

variable

The binomial distribution is negatively skewed if

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P< 1/2

P = 1/2

P > 1/2

P = 1

In hypergometric distribution the trials are.

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Independent

Dependent

Independent and dependent

None of these

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 successive trials are with replacement

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Hypergeometric

Binomial distribution

Continuous distribution

Discrete distribution

In a bionial experiment, the successive trails are.

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Dependent

Independent

Mutually exclusive

FIxed

In a binomial expreiment with three trials, the variable can take.

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2 Values

3 Values

4 Values

5 Values

For a binomial distribution with n = 5 prob ( X = -2) is.

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0

Greater than zero

Less than zero

None of these

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Statistics Ics Part 1 Chapter 9 Online Test MCQs With Answers

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