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  • If we draw a sample of size ‘n’ from a population then sample is called “large sample" if:  n>25, n>30, n>100   ,n.40
  •  If we reject the true null hypothesis using t-distribution, we might be making: · t ype I error,Type II error,correct decision,Unpredictable
  •                        

1.  If we draw a sample of size ‘n’ from a population then sample is called “large sample" if:

n>25

n>30


n>100

n.40

2.If we reject the true null hypothesis using t-distribution, we might be making:
 Type I error

Type II error

A correct decision

Unpredictable

3.If we reject the true null hypothesis using t-distribution, we might be making:

 

4.A failing student is passed by an examiner. It is an example of:
 

  ype I error

Type II error

Correct decision


5.  A null hypothesis is generally denoted by:

H0



6..For a particular hypothesis test, Alpha=0.05 and Beta=0.15. What is the level of significance?

  0.95

  0.05

  .15



Null hypothesis

Alternative hypothesis

  • Value of alpha
  • Value of test-statistic

 

7.  To consider every possible value that the parameter might have, and for each value, compute the probability and THAT value of the parameter for which the probability of a given sample is greatest, is chosen as an estimate.” This procedure is known as

The method of moments

The method of leas square

The method of maximum likelihood

The method of fractional moments



 

8.When an interval is constructed, what is the probability of occurrence of parameter in it?

  • 0
  • 1
  • 50
  • Either 1 or 0

 

9.  The parameter of the chi- square distribution is:

n-1

  • n-2
  • n-3
  • n-4

10.  The density of the t-distribution reaches its maximum at t=______:


  • 2
  • 1
  • 3


 

11.To test the proportions, we used:

  • Chi-square test
  • t-test
  • F-test
  • Z-test

12.A confidence interval has a specified probability__________ of containing the true value of the parameter.

 

1-a

1+a

  • Z-test
  • t- tes

 

  • Z-test
  • t- tes

 

all

13.To test the hypothesis about the difference of means for small samples, what test statistic will be used?

 

An alternative hypothesis is generally denoted by:

  • H0
  • H1
  • H2
  • H3

 

14.The average height of Pakistani soldiers exceeds the average height of American soldiers by not more than 3 inches. The alternative hypothesis is: (MeanP = Mean Pakistani soldiers) (MeanA = Mean American soldiers )

 

  MeanP-MeanA > 3 inches

 

MeanP-MeanA < 3 inches

 

MeanP-MeanA >= 3 inches

MeanP-MeanA <= 3 inches



 

15.  Which one of the following is "NOT" a necessary assumption underlying the use of the Analysis of Variance technique?

The samples are independent and randomly selected



 

  The variances of the populations are the same

The means of the populations are equal


18.Ideally, the width of confidence interval should be

 

0,1

  • 98
  • 100

 

19.  S2(for large samples) and s2(for small samples) will be approximately equal when:

n is large

 

n is less than 10

n is small

n is equal to 20



 

 20.n general, sample variance is a/an_____estimator.

Biased

Unbiased

Biased and Unbiased

noe


 

 21. A null hypothesis is generally denoted by:

H1

HO

H2

H3


 

 

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