Studied by 49 people
too lazy
Sampling error
is random, characteristic of sample differs from whole population
Measurement error
inaccuracy at collection, can come from how the question is asked
coverage error
sample doesn’t reflect population
non-response error
people selected don’t respond
Simple random sampling
drawn from barrel, 3 students from 30, everyone has an equal chance of being chosen
systematic sampling
selecting members of population at random intervals, useful when not all of the population are available, like every 10th person
convenience sampling
people are chosen due to ease and likelihood to respond
stratified and quota sampling
people can be divided into subgroups
stratified
randomly selected
quota
specifically selected
categorical variable
based on a quality/characteristic
quantitative
numerical
discrete data
comes from counting
continuous
comes from measuring
