Non-random sampling is also called___________________?

Related Mcqs:

1. In the sampling without replacement a sampling unit can be selected_______________?

   A. Only Once
   B. More than once
   C. Less than once
   D. None of these

2. In probability sampling each sampling unit has some____________________?

   A. Unknown
   B. Large
   C. Small
   D. Know

3. If in a sampling distribution of X the sample size is 25, what assumption must hold for the sampling distribution of X to be normal ?

   A. Population distribution is normal
   B. μ1 = μx
   C. Population distribution is uniform
   D. σx = σx /√n

4. A list of sampling _________ is called sampling frame?

   A. Point
   B. w.r.m
   C. w.o.r
   D. unit

5. In sampling with replacement be t a sampling unit can selected________________?

   A. Only once
   B. More than once
   C. Less than once
   D. None

6. Cluster sampling is useful when sampling units are__________?

   A. Close another
   B. Far a part
   C. Mixed
   D. None of these

   Submitted by: Nimra Shaheen

7. Random samples of size 17 are from a population that has 200 elements, a mean of 36, and a standard deviation of 8. which of the following best describes the from of the sampling distribution of the sample mean for this situation ?

   A. Approximately normal because the sample size is small relative to the population size
   B. Approximately normal because of the central limit theorem
   C. Exactly
   D. None of these alternatives is correct

8. Which sampling method we will apply if there is no sampling frame?

   A. Systematic sampling
   B. Cluster sampling
   C. Simple random sampling
   D. Stratified sampling

   Submitted by: Nimra Shaheen

9. Let X1,X2,……,Xn be a random sample from a density,,,, f(x ι θ) where θ is a value of the random variable Θwith known density gΘ(θ) Then the estimator ∏(θ) with…/ respect to the prior gΘ(θ) is define as_________________E[∏(θ)ιX1,X2,…..,Xn] is called?

   A. Posterior Bay’s estimator
   B. Minimax estimator
   C. Bay’s estimator
   D. Sufficient estimator

10. Let X1,X2,……,Xn be a random sample from a density,,,, f(x ι θ) where θ is a value of the random variable Θwith known density gΘ(θ) Then the estimator ∏(θ) with…/ respect to the prior gΘ(θ) is define as______________E[∏(θ)ιX1,X2,…..,Xn] is called?

    A. Posterior Bay’s estimator
    B. Minimax estimator
    C. Bay’s estimator
    D. Sufficient estimator