Question # 1

The hypergeometric distribution is used when trials are

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Dependent

Independent

Equally likely

Mutually exclusive

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%

"P" or "q" can not be greater than

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1

0

2/3

1/2

In hyper geometric distribution n is.

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Changed

Zero

Fixed

variable

In binomial each trial has

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One outcome

Two outcomes

Three outcomes

Four outcomes

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

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2 Values

3 Values

4 Values

5 Values

The bionomial probability distribution is symmetrical when

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p = q

p < q

p > q

np > npq

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

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1

1/2

1/4

1/3

The numebr of trial in bionomial distribution is.

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Not fixed

Fixed

Large

Small

In a bionial experiment, the successive trails are.

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Dependent

Independent

Mutually exclusive

FIxed

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 hypergeometric experiment has propeties

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One

Three

Four

Five

The bionomial distribution is negatively skewed if.

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p < 1/2

p = 1/2

p > 1/2

p = 1

The parameters of binomial distribution one

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p and q

q and n

n and p

n,p,q

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

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12

60

4.8

0

A binomial random variable is a (an)

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Constinuous random variable

Discrete random variable

Dependent varaible

Independent variable

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

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