Data Collection Flashcards
Population
The whole set of items that are of interest
Census
Observes or measures every member of the population
Sample
A selection of observations taken from a subset of the population which is used to find out information about the population as a whole
Advantages of a census
Should give a completely accurate result
Disadvantages of a census
Time-consuming and expensive
Cannot be used when the testing process destroys the item
How to process large quantity of data
Advantages of a sample
Less time-consuming and expensive than a census
Fewer people have to respond
Less data to process than in a census
Disadvantages of a sample
The data may not be as accurate
The sample may not be large enough to give information about small subgroups of the population
Sampling units
Individual units of a population
Sampling frame
A list formed from sampling units of a population which are individually named or numbered
Simple random sample
Where every sample of size n has an equal chance of being selected
How do you carry out a simple random sample
You need a sampling frame, usually a list of people or things. Each person or thing is allocated a unique number and a selection of these numbers is chosen at random
Two methods: generating random numbers, lottery sampling
Systematic sampling
The required elements are chosen at regular intervals from an ordered list
The first person to be chosen should be chosen at random
Stratified sampling
The population is divided into mutually exclusive strata (Males and females, for example) and a random sample is taken from each
The proportion of each strata samples should be the same.
Formula to calculate the number of people that should be sampled from each stratum
The number sampled in a stratum= (number in stratum/number in population) x overall sample size
Advantages of simple random sampling
Free of bias
Easy and cheap to implement for small populations and small samples
Each sampling unit has a known an equal chance of selection