(A) Approximately normal because is always approximately
normally distributed
(B) Approximately normal because the sample size is large in
comparsion to the population size
(C) Approximately normal because of the central limit theorem
(D) Normal if the population is normally distributed
Category: Statistics Mcqs
Explore a comprehensive collection of Statistics Multiple Choice Questions (MCQs) designed to test your knowledge and enhance your understanding. Our curated database covers a wide range of statistical concepts, providing a valuable resource for students, educators, and professionals. Practice Statistics MCQs to sharpen your skills and excel in your studies or career. Start mastering statistics today!
A sample estimate is used to describe a characteristic of a__.
(A) Sample
(B) Data
(C) Population
(D) None
The sampling error is the__.
(A) Same as the standard error of the mean
(B) Difference between the value of the sample mean and the
value of the population mean
(C) Error caused by selecting a bad sample
(D) Standard deviation multiplied by the sample size
Which of the following is impossible in sampling?
(A) Destructive tests
(B) Heterogeneous data
(C) To make voters lists
(D) None of these
For making voters lists in Pakistan we need __.
(A) Simple random sampling
(B) Systematic sampling
(C) Quota sampling
(D) Census
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
Non-sample errors are reduced by:__.
(A) Increasing the sample size
(B) Reduced the amount of data
(C) Decreasing the sample standard deviation
(D) None of these
Sampling error can reduced by __.
(A) Non-random sampling
(B) Increasing the population
(C) Decreasing the sample size
(D) Increasing the sample size