Sampling Flashcards
1
Q
Simple random sampling pros and cons
A
- free of bias
- easy and cheap
- each unit has equal chance of selection
- not suitable when sample size is large
- sampling frame is needed
2
Q
Systematic sampling pros and cons
A
- simple and quick
- suitable for large samples
- sampling frame needed
- can be biased if no sampling frame
3
Q
Stratified sampling pros and cons
A
- accurately represent population proportion
- population must be clearly classified into distinct strata
4
Q
Quota sampling pros and cons
A
- small sample can be representative
- no sampling frame needed
- easy and cheap
- biased
- must divided into groups which can be costly or invalid
5
Q
Opportunistic sampling pros and cons
A
- easy
- cheap
- unlikely to be representative
- dependent on researcher
6
Q
What does ‘tr’ mean in Daily Total Rainfall and what would one do with ‘tr’ entries to clean data set?
How would the estimate of mean be affected?
A
when rainfall < 0.05mm
Replace with 0.025 or 0.05
mean will be underestimated
7
Q
What to do with tr values in rainfall samples?
A
Replace with 0 or 0.025
Mean would be underestimated
8
Q
What is the sampling method that involves every individual in a population?
A
Census
9
Q
What are the 3 types of random sampling?
A
Simple random
Systematic
Stratified
10
Q
What are the 2 types of non-random sampling?
A
Opportunistic
Quota
