Sampling and Sampling Distributions

MCQ .1
Sample is a sub-set of:
(a) Population (b) Data (c) Set (d) Distribution

MCQ .2
Any population constant is called a:
(a) Statistic (b) Parameter (c) Estimate (d) Estimator

MCQ .3
List of all the units of the population is called:
(a) Random sampling (b) Bias (c) Sampling frame (d) Probability sampling

MCQ .4
Any calculation on the sampling data is called:
(a) Parameter (b) Static (c) Estimation (d) Error

MCQ .5
Any measure of the population is called:
(a) Finite (b) Parameter (c) Without replacement (d) Random

MCQ .6
If all the units of a population are surveyed, it is called:
(a) Random sample (b) Random sampling (c) Sampled population (d) Complete enumeration

MCQ .7
Probability distribution of a statistics is called:
(a) Sampling (b) Parameter (c) Data (d) Sampling distribution

MCQ .8
The difference between a statistic and the parameter is called:
(a) Probability (b) Sampling error (c) Random (d) Non-random

MCQ .9
The sum of the frequencies of the frequency distribution of a statistic is equal to:
(a) Sample size (b) Population size (c) Possible samples (d) Sum of X values

MCQ .10
Standard deviation of sampling distribution of a statistic is called:
(a) Serious error (b) Dispersion (c) Standard error (d) Difference

MCQ .11
If we obtain a point estimate for a population mean μ, the difference between and μ is:
(a) Standard error (b) Bias (c) Error of estimation (d) Difficult to tell

MCQ .12
A distribution formed by all possible values of a statistics is called
(a) Binomial distribution (b) Hypergeometric distribution
(c) Normal distribution (d) Sampling distribution

MCQ .13
In probability sampling, probability of selecting an item from the population is known and is:
(a) Equal to zero (b) Non zero (c) Equal to one (d) All of the above