Data Collection Flashcards
What is a population?
The set of items that are of interest e.g. the people in a town
What is a census?
A census observes/measures every member of the population
What is a sample?
- a selection of observations taken from a subset of the population used to find information about the population as a whole.
What are the advantages of using a census?
- gives a completely accurate result
What are the disadvantages of using a census? (3 points)
- time consuming + expensive
- cannot be used when the testing process destroys the item
- hard to process large quantity of data
What are the advantages of using a sample? (3)
- less time consuming and expensive than a census
- fewer people have to respond
- less data to process than in a census
What are the disadvantages of using a sample? (2)
- the data may not be as accurate
- the sample may not be large enough to give information about small sub-groups of the population
How does the size of the sample affect the validity of conclusions drawn?
Larger sample = more accurate but need more resources
What are sampling units?
- individual units of the population
What is a sampling frame?
- a sampling frame are the sampling units named or numbered to form a list
For random sampling what does every member of the population have an equal chance of ….
- equal chance of being selected
What does random sampling help to remove?
- bias from a sample as each member of population has an equal chance of being picked
What are the 3 methods of random sampling?
- simple random sampling
- stratified sampling
- systematic sampling
What is a simple random sample?
- one where every sampling unit has an equal chance of being picked
- uses a sampling frame, allocate a number to each sampling unit.
- selecting a set amount of the numbers randomly (usually done using a calculator to randomly generate or using lottery sampling where the numbers are placed in a hat)
What is systematic sampling?
- required elements are chosen at regular intervals from an ordered list.
- e.g. if a sample of size 20 is required from a population of 100 choose every 5th member because 100/20 = 5
- but first person is chosen at random