chapter 1 year 1 stats Flashcards
what is population
- set of items that are of interest
what is a census
- measures/observes every member of a population (data collected from entire population)
advantages of census
- accurate result
disadvantages of census
- expensive
- time consuming (hard to process large quantity of data)
- testing may destroy items
what is a sampling unit
- each individual thing that can be sampled in a population
what is a sampling frame
- sampling units of a population are individually named/numbered to form list (sampling frame)
what is a sample
- some subset of the population intended to estimate info about/represent population as a whole
generally the larger the sample…
- the more accurate it is
advantages of sample
- cheaper
- quicker
- less time to process
disadvantages of sample
- data less accurate
- sample may not be large enough to give info about sub groups of population
what is simple random sampling
- each sampling unit in sampling frame has equal chance of being selected.
how is simple random sampling carried out
- selecting members involved assigning numbers to all of them and either generating numbers at random to choose or use lottery sampling
what is lottery sampling
- members of a sampling frame are written on card and put in a hat to generate members picked
advantages of simple random sampling
- bias free
- easy and cheap to implement
disadvantages of simple random sampling
- require a sampling frame
- not suitable for large population or sample size
what is systematic sampling
- members are chosen at regular intervals from an ordered list (periodic nature)
- you take every k ᵗʰ unit, k = pop/sam
how do you start systematic sampling
- pick a random number between 1 and k for start point
advantages of systematic sampling
- simple + quick to use
- suitable for large samples and populations
disadvantages of systematic sampling
- requires sampling frame
- possible bias as units don’t have equal chance of selection if sampling frame not random
what is stratified sampling
- population divided into groups (mutually exclusive strata) and a simple random sample is taken from each.
what does a sample represent in stratified sampling
group/strata of a population
how to do stratified sampling (work out number sampled in a stratum)
number in stratum/population x overall sample size
within this pick randomly
advantages of stratified sampling
- sample accurately reflects population
- guarantees proportional representation of groups
disadvantages of stratified sampling
- population must be classified in stratas (can be time consuming)
- selection within a group has same issues as simple random sampling