Collecting Data Flashcards
Numerical Value
range of numerical values, average, sum, and difference
Discrete
numeric values with jumps and it is finite (has a limit)
Ordinal variable
categorical value with natural ordering
Nominal variable
categorical variable without natural ordering
Associated/Dependent variable
2 variables show connection with each other
Independent variables
2 variables are not associated
Continous
all values within a range are possible
Explanatory Variable
variable is used to predict/ explain differences in another variable; also called a factor (has levels like yes/no or low/medium/high)
Response Variable
variable is predicted and explained by the explanatory variable; outcome/results
Sample
subset of cases and often a fraction of the population
Variable
characteristic measured for each individual/case
Anecdotal evidence
data collected in a haphazard fashion
Observational Study
collecting data without interfering with how the data arises
Cohort
group of subjects are share a defining characteristic
Randomized Experiment
individuals are randomly assigned to a group
Placebo
fake treatment
Control group
a group that has no effect on it; used to compare with treatment groups and has no independent variable affecting it
Treatment group
a group that is affected by the independent variable(s); experimental group
Confounding/Lurking variable
one missing important piece of info
Prospective Study
identifies individuals and collects info as events unfold
Retrospective Study
collects data after events have taken place
Undercoverage bias
occurs when some individuals of the population are inherently less likely to be included in the sample than others
Simple random sample
each case in the population has an equal chance of being included and no implied connection between cases in the sample
Convenience sample
individuals who are easily accessible are more likely to be included in the sample