Sampling Techniques

Question 1

Random sampling- definition

Answer 1

Random number table to choose place or person to be sampled

Question 2

Random sampling- best used when

Answer 2

Trying to avoid bias

Question 3

Random sampling- advantages

Answer 3

Avoid bias, can be used for large sample populations

Question 4

Random sampling- disadvantages

Answer 4

Can lead to poor representation of an area, may not be enough time to speak to everyone

Question 5

Systematic sampling- definition

Answer 5

Samples chosen in a regular way, evenly distributed in a space, at regular time intervals, regularly numbered

Question 6

Systematic sampling- best used when

Answer 6

Making sure to cover whole area

Question 7

Systematic sampling- advantages

Answer 7

Good coverage of all area, easier than random b/c sampling evenly spread out

Question 8

Systematic sampling- disadvantages

Answer 8

More biased tan random, can lead to over-under representation of a pattern

Question 9

Stratified sampling- definition

Answer 9

Used when population or area studied is made of sub-sets of known size

Question 10

Stratified sampling- best used when

Answer 10

Covering all different groups fairly

Question 11

Stratified sampling- advantages

Answer 11

If aize of subsets known its very representative, comaorisons between sub groups

Question 12

Stratified sampling- disadvantages

Answer 12

Size of groups must be knows, may be rude to adk about spcertain things, depending on time of day certain groups might not be present