samples that over- or underemphasize some characteristics of the population
Give this one a try later!
biased
vast digital repositories where data are recorded and stored electronically
Give this one a try later!
data warehouses
a sample that includes the entire population
,Give this one a try later!
census
an entire collection of individuals
Give this one a try later!
population
when a variable names categories and answers questions about how cases fall into
those categories
Give this one a try later!
categorical/qualitative variable
when we slice the population into homogeneous groups, called strata, use simple
random sampling within each stratum, and combine the results at the end
Give this one a try later!
stratified random sampling
combining percentages across very different values or groups can give confusing
results because percentages are inappropriately combined
, Give this one a try later!
simpson's paradox
a sample that estimates the corresponding parameters accurately
Give this one a try later!
representative
any intersection of a row and column of a contingency table that gives the count for a
combination of values of the two variables
Give this one a try later!
cell
when two or more separate data tables are linked together so that information can be
merged across them
Give this one a try later!
relational database
a large group of individuals is invited to respond, and all who do respond are
counted - results from these are almost always biased and wrong
Give this one a try later!
biased
vast digital repositories where data are recorded and stored electronically
Give this one a try later!
data warehouses
a sample that includes the entire population
,Give this one a try later!
census
an entire collection of individuals
Give this one a try later!
population
when a variable names categories and answers questions about how cases fall into
those categories
Give this one a try later!
categorical/qualitative variable
when we slice the population into homogeneous groups, called strata, use simple
random sampling within each stratum, and combine the results at the end
Give this one a try later!
stratified random sampling
combining percentages across very different values or groups can give confusing
results because percentages are inappropriately combined
, Give this one a try later!
simpson's paradox
a sample that estimates the corresponding parameters accurately
Give this one a try later!
representative
any intersection of a row and column of a contingency table that gives the count for a
combination of values of the two variables
Give this one a try later!
cell
when two or more separate data tables are linked together so that information can be
merged across them
Give this one a try later!
relational database
a large group of individuals is invited to respond, and all who do respond are
counted - results from these are almost always biased and wrong
