Data Collection and Sampling Techniques

Question 1

random sample

Answer 1

is a sample in which all members of the population have an equal
chance of being selected.

Question 2

systematic sample

Answer 2

sample is a sample obtained by selecting every kth member of the
population where k is a counting number.

Question 3

stratified sample

Answer 3

is a sample obtained by dividing the population into subgroups or strata according to some characteristic relevant to the study. (There can be sev-
eral subgroups.) Then subjects are selected from each subgroup.

Question 4

cluster sample

Answer 4

is obtained by dividing the population into sections or clusters
and then selecting one or more clusters and using all members in the cluster(s) as
the members of the sample.

Question 5

Sampling error

Answer 5

is the difference between the results obtained from a sample
and the results obtained from the population from which the sample was selected

Question 6

nonsampling error

Answer 6

occurs when the data are obtained erroneously or the sample
is biased, i.e., nonrepresentative.