Statistics: Sampling Flashcards
What is a Census?
A census measures or observes every member of a population
What is a Sample?
A sample is a selection of observations taken from a subset of a population. It’s used to find out more information about a population as a whole.
Advantages / Disadvantages of a Census
Advantage:
- Results should be completely accurate
Disadvantages:
- Time consuming and expensive
- Hard to process large quantity of data
Advantages / Disadvantages of a Sample
Advantages:
- Less time consuming and cheaper
- Few people have to respond
Disadvantages:
- Data may not be as accurate
- Sample may not be large enough to give info about small subgroups of a population
What is Random sampling?
Each member of a population has an equal chance of being selected.
The three types of Random Sampling:
- Simple random sampling
- Systematic sampling
- Stratified
What is Simple random sampling?
Every sample of size n has an equal chance of being selected.
A Simple random sample can be taken by using:
- A calculator or random number generator
- Lottery sampling
How does a Calculator or Random number generator work?
- Number each member from 1 to n (size of sample)
- Use a calculator / random number generator to generate x random numbers between 1 to n
- Select the members who correspond to the numbers.
How does Lottery Sampling work?
- Write the name of members on identical cards
- Place them in a hat
- Draw up x cards and select these members.
Advantages of Simple random Sampling
- Free of bias
- Easy and cheap for small samples and populations
- Each sampling unit has a known and equal chance of selection
Disadvantages of Simple random Sampling
- Not suitable for large samples and populations
- Sampling frame needed
What is Systematic sampling?
The required elements are chosen at regular intervals from an ORDERED list
Advantages of Systematic sampling
- Simple and quick to use
- Useful for large samples and populations
Disadvantages of Systematic sampling?
- Sampling frame needed
- Bias introduced if sampling frame is not random
What is Stratified sampling?
The population is divided into mutually exclusive strata and a random sample is taken from each.
Num sampled in a stratum = number in stratum
Disadvantages of Systematic sampling
- A sampling frame is needed
- Bias introduced if sampling frame is not random