Question # 1

If Ho: μ <μoand H1:μ <μoand level of significance is=α then Ho will be rejected if

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Z < Z=α

Z < Z=α/2

Z < Z 1-α

Z < Z1-α/2

An automobile is driven on the average on more than 1600 kilometers per year, the null hypothesis is

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H_o : μ = 16000 kilometers

H_o : μ ≤ 16000 kilometers

H_o : μ < 16000 kilometers

H_o : μ > 16000 kilometers

P(type I error) is equal to:

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1 - α

1 - β

α

β

P(type II error) is equal to:

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α

β

1 - α

1 - β

The power of the test is equal to:

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α

1 - α

β

1 - β

A ---------------- error is made by accepting H_o if H₁ is actually true

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type - I

type - II

type - III

type - IV

A statistical hypothesis is an assertion or conjecture about the distribution of random variables

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one

two

one or more

three

If critical region is located equally in both tails of the sampling distribution of test statistic, the test is called ------------- test

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one tailed

two tailed

left tailed

right tailed

Which error is occurred when the defendant were found guilty if, infect the defendant is innocent

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type-I

type-II

no error

both a and b

The degree of confidence is equal to:

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β

1 - β

1 - α

α

An example in a two-sided, alternative hypothesis is:

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H₁ :u < 0

H₁ : u > 0

H₁ L u > 0

H₁ : u ≠ 0

Which of the following is not composite hypothesis?

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^{μ < μ}_^

μ > μ₀

μ = μ_o

1 -&=nbsp;α is call:

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Confidence coefficient

Power of the test

Size of the test

Level of significance

The values of test statistic which separate the rejection and non rejection regions for the test are called

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simple values

critical values

parametric values

none of these

If we reject Ho when Ho is actually true then it is

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type - I error

type - II error

type - III error

type - IV error

A statistic on the basis of which a decision is made about the hypothesis of interest is called

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critical region

test statistic

parameter

rejection region

1 - α is the probability associated with:

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Type-I error

Type-II error

Level of confidence

Level of significance

Hypothesis that does not completely specify the underlying population distribution is called

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simple hypothesis

dual hypothesis

composite hypothesis

common hypothesis

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