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population
All - the entire group of interest
sample
portion of population
parameters
numerical summary that describes a characteristic of a population
measurement bias
measurement errors
voluntary sampling
people with strong feelings one way or the other are the ones tending to respond
convenience sampling
only a “convenient” group is surveyed which leaves out many subgroups
survivorship bias
focusing on those who made it past some process and not considering those who did not
Simple Random sample (SRS)
all possible participants are equally likely to be chosen
sampling frame
the set of numerical label’s given to set population
random number generator
used to select desired number of labels from sampling
stratified sampling
a sample of one from each individual group subgroup
cluster sampling
choosing to choose a whole sub group instead of one from every cluster
systematic sampling
every blank subject is sampled
quantitative variables
numerical measurements that records “quantity” - Numbers
categorical variables
categories like habitat season sport.
mode
the most repeated number of the group
variability
diversity