Question # 1

For r x c contingency table the number if degrees of freedom equals

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(r - 1) + ( c -1)

(r -1) (c - 1)

1

(r x c) -1

A hypothesis in which all parameters are specified is called

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Composite hypothesis

Null hypothesis

Simple hypothesis

All

The probability of rejecting H_o when it is true is called

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Confidence co-efficient

Level of confidence

Size of test

power of the test

In binomial distribution:

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Mean = variance

Mean > variace

Mean < variance

Zero

Sum of the random errors is equal to:

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3

2

1

0

A binomial random variable can only assume the values

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1,2.................n

0, 1, 2.....................................∞

0, 1, 2,,,,,,,,,,,,,,,,,,,,,,,n

2,4,6,8,10

In normal distribution P (m^-d sΣ x Σ m+ s)

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0.9973

0.9545

0.6827

None

When the values are not of equal importance then we compute

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Simple mean

Weighted

Combined mean

None of these

P_n/ P_n-1 100 is equal to:

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Price relative

Chain indices

Link relative

None of these

Accepting H_o when H_o is true is a:

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Type I error

Type II error

Correct decision

None of these

The probability of an event cannot be

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=0

>0

=1

<0

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NAT I General Science Statistics MCQs With Answers

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