Sampling Vocab

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