1.2: Types of Sampling Flashcards
1
Q
What are the three methods of Random Sampling?
A
- Simple Random Sampling
- Systematic Sampling
- Stratified Sampling
2
Q
What is Simple Random Sampling?
A
- Where every sample has an equal chance of being selected
3
Q
How can Simple Random Sampling be implemented?
A
- Random Number Generator
- A Lottery Sample (“Names out of a hat”)
4
Q
What are the Advantages of using a Simple Random Sample?
A
- Free of bias
- Easy and cheap
- Fair
5
Q
What are the Disadvantages of Simple Random Sampling?
A
- Not suitable for large samples or populations
- Sampling frame required
6
Q
What is Systematic Sampling?
A
- The required elements are chosen at regular intervals from an ordered list
7
Q
What are the Advantages of Systematic Sampling?
A
- Simple and quick
- Suitable for large samples and populations
8
Q
What are the Disadvantages of Systematic Sampling?
A
- Sampling frame may be required
- Can introduce bias if sampling frame is not random
9
Q
What is Stratified Sampling?
A
- The population is divided into mutually exclusive strata and a random sample is taken from each
10
Q
What are the Advantages of Stratified Sampling?
A
- Sample accurately reflects the population structure
- Guarantees proportional representation of groups within the population
11
Q
What are the Disadvantages of Stratified Sampling?
A
- Population must be clearly classified into distinct strata
- Selection within each stratum suffers from the same disadvantages as Simple Random Sampling
