Data Engineering Fundamentals - Data Sampling Techniques

Question 1

__________________ where everything has an equal chance.

a) Random
b) Stratified
c) Systemic
d) Cluster
e) Convenience

Answer 1

Random

Sample but smaller for analysis, with an equal chance of sample. Works if all the same stuff not too many categories.

Question 2

______ divide population into homogeneous subgroups.
Random sample within each stratum. Ensures representation of each subgroup.

a) Random
b) Stratified
c) Systemic
d) Cluster
e) Convenience

Answer 2

Stratified.

Different classifications. Make sure sample data set is getting the different categories.

Question 3

__________________-

like a rule where you check every one in 3.

a) Random
b) Stratified
c) Systemic
d) Cluster
e) Convenience

Answer 3

systemic