When sample size is to be considered large, population standard deviation can be replaced by

• A) Sample Variance
• B) Sample Standard Deviation
• C) Sample Mean
• D) Population variance

P 0 1/3 2/3 1
f(p) 1/10 4/10 4/10 1/10

The mean of the sampling proportion will be:

• A) 1/20
• B) 10/20
• C) 1/15
• D) 15/30

The standard error of the sampling distribution of p1 - p2 is equal to:

• A) None of the above
• B) √(p1q1/n1)+ p2q2/n2
• C) √((p1+p2)/n)
• D) √(p/n)

The standard deviation of sampling distribution of proportion is:

• A) p
• B) n/p
• C) q/n
• D) √(pq/n)

Sample Proportion is a /an_______ estimator of population mean.

• A) Consistent
• B) Unbiased and Consistent estimator
• C) None of these
• D) Unbiased

Inferential statistics involves:

• A) Estimation
• B) Testing of hypothesis
• C) All of these
• D) Confidence interval

In Binomial distribution the sample size is considered to be sufficiently large, if both np and nq are greater than or equal to:

• A) 10
• B) 3
• C) 15
• D) 5

Interval estimation and Confidence interval are :

• A) Same
• B) Different
• C) Dependent
• D) Independent

An alternative hypothesis is generally denoted by:

• A) H1
• B) H2
• C) H3
• D) H0

If µ1 = 225 and µ2 = 186, the difference of population means will be:

• A) 29
• B) 25
• C) 39
• D) 57

In sampling from a large population with б= 25 . The size of the sample used is 10, the value of the standard error will be:

• A) 7.9
• B) 6
• C) 2
• D) 0

If our sampled population is normal, then sampling distribution of the sample mean will ………:

• A) Depends on sample size
• B) None of the above
• C) Normal
• D) Not necessarily normal

Which of the following is not a criterion for a good problem situation?

• A) It must be appropriate to the students' level of development.
• B) It must be such that its solution will be benefited by group effort.
• C) It must be clearly structured and defined.
• D) It must be authentic.

The end points that bound the confidence interval are called;

• A) Bounded limits
• B) Lower limits
• C) Upper limits
• D) Lower and upper limits

From which of the following methods we can obtain point estimate of the population parameters.

• A) Method of Least Squares
• B) Method of Moments
• C) All of the above
• D) Maximum Liklihood Method

The Maximum Likelihood Estimators (MLE) are ………… and …………… but not necessarily ………

• A) Consistent, unbiased, efficient
• B) Unbiased, consistent, efficient
• C) Unbiased, efficient, consistent
• D) Consistent, efficient, unbiased

A statistic whose standard error decreases with an increase in the sample size will be ......

• A) None
• B) Consistant
• C) Efficient
• D) Unbiased

Sample variance is a/an_____estimator of population variance.

• A) Unbiased
• B) Biased
• C) Biased and Unbiased
• D) None of these

Accept H0/H0 is false, is the ________.

• A) Correct decision
• B) Type I error
• C) Type II error
• D) None of the above

If P (6.2< ? <12.2) =0.95 then

• A) We are 95% confident that true value of the parameter fall in this interval
• B) We are 5% confident that true value of the parameter fall in this interval
• C) All are correct
• D) This is wrong statement