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population
whole set of items that are of interest
census
observes or measures every member of a population
sample
selection of observations taken from a subset of the population which is used to find out information of the population as a whole
sampling units
individual units of population
sampling frame
sampling units of population individually named/ numbered to form list
simple random sample
every sample has equal chance of being selected
census advantages
should give completely accurate result
census disadvantages
time consuming and expensive
cannot be used when testing process destroys the item
hard to process large quantity of data
sample advantages
less time consuming and expensive than census
fewer people have to respond
less data to process than in census
sample disadvantgaes
data may not be as accurate
sample may not be large enough to give information about small sub-groups of population
systematic sampling
required elements chosen at regular intervals from ordered list
stratified sampling
population divided into mutually exclusive strata (e.g. males and females) and random sample taken from each
simple random sampling advantages
free of bias
easy and cheap to implement for small populations and small samples
each sampling unit has known and equal chance of selection
simple random sampling disadvantages
not suitable when population size or sample size is large as potentially time consuming, disruptive and expensive
sampling frame needed (need list)
systematic sampling advantages
simple and quick to use
suitable for large samples and large populations
systematic sampling disadvantages
sampling frame needed
can introduce bias if sampling frame not random
stratified sampling advantages
sample accurately reflects population structure
guarantees proportional representation of groups within population
stratified sampling disadvantages
population must be clearly classified into distinct strata
selection within each stratum suffers from same disadvantages as simple random sampling
non-random sampling
quota sampling or opportunity sampling
quota sampling
interviewer/ researcher selects sample that reflects characteristics of whole population
opportunity sampling
sample from people who are available at time study carried out and who fit criteria you are looking for
quota sampling advantages
allows small sample to still be representative of population
no sampling frame required
quick, easy and inexpensive
allows for easy comparison between diff groups within population
quota sampling disadvantages
non-random sampling → bias
population must be divided into groups, can be costly/ inaccurate
increasing scope of study increases no. of groups, adds time and expense
non-responses not recorded as such
opportunity sampling advantages
easy to carry out
inexpensive
opportunity sampling disadvantages
unlikely to provide representative sample
highly dependent on individual researcher
quantitative data
associated with numerical observations
qualitative
associated with non-numerical observations
continuous variable
can take any value in given range
discrete variable
take only specific values in given range
Daily total rainfall
including solid precipitation e.g. snow and hail, melted before included in any measurements
amount < 0.05mm recorded as ‘tr’ or ‘trace2’
daily mean wind direction and windspeed
in knots
ave over 24 hrs
wind directions given as bearing and as cardinal (compass) directions
windspeeds categorised according to Beaufort scale
daily max gust
in knots
highest instantaneous windspeed recorded
direction also recorded
daily max relative humidity
as % air saturation with water vapour
>95% = misty and foggy conditions
daily mean cloud cover
in ‘oktas’ or eighths of sky covered by cloud
daily mean visibility
in decametres (Dm)
greatest horizontal distance at which object can be seen
daily mean pressure
in hectopascals (hPA)