statistics Y1 Flashcards
Population
the whole set of items that are of interest
Census
observes or measures every member of a population
Sample
a selection of observations taken from a subset of the population which is used to find out about the population as a whole
Advantages and disadvantages of a census
Advantages:
- gives a completely accurate result
Disadvantages:
- time consuming and expensive
- cannot be used when testing process destroys the item
- hard to process (as a large sample)
Advantages and disadvantages of using a sample
Advantages:
- less time consuming and expensive
- fewer people have to respond
- less data to process
Disadvantages:
- data may not be as accurate
- sample may not be large enough to give information about subgroups
Sampling units
Individual units of a population
Sampling frame
The list of sampling units named or numbered individually
Random sampling advantages
Every sample has an equal chance of being selected, meaning it is representative and removes bias
3 methods of random sampling
- simple random sampling
- systematic sampling
- stratified sampling
Simple random sampling
- need a sampling frame
- either generate random numbers corresponding to sampling frame or lottery sampling
- every sample has an equal chance of being selected
Systematic sampling
- required elements are chosen at regular intervals from an ordered list
e.g. if a sample of size 20 was needed from a population of 100, you would take every fifth person, starting at a random number from 1 to 5
Stratified sampling
The population is divided into mutually exclusive strata (e.g. male and female)
and a random sample is takes for each
number sampled in a stratum =
number in stratum/number of population * overall sample size
Adv and disadv of simple random sampling
adv:
-free of bias
-cheap and easy to implement for small populations and samples
- each sampling unit has a known and equal chance of selection
disadv:
- not suitable when population size or sample size is large as potentially time consuming, disruptive and expensive
Adv and disadv of systematic sampling
adv:
- simple and quick to use
- suitable for large samples and large populations
Disadv:
- sampling frame is needed
- can introduce bias if sampling frame is not random
Adv and disadv of stratified sampling
adv:
- sample accurately reflects the population structure
- guarantees proportional representation of groups within a population
Disadv:
- population must be clearly classified into distinct strata
- selection within each stratum suffers from the same disadvantages as simple random sampling