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μ
mean
η
median
σ
standard deviation
σ²
variance
pi
proportion (of successes)
p
correlation between two variables
discrete quantitative variable
can assume only a countable number of values (students in a class)
continuous quantitative variable
can assume countless values (height, weight, proportions, percentages, rates)
parameter
one of the symbols, describes a whole population
statistic
english letters, a population within a population
confounding bias
a statistical error that occurs when an outside factor influences both the variable being tested and the outcome, making a true relationship look different than it is
treatment variable
an independent variable that a researcher manipulates, assigns, or changes in an experiment to test its causal effect on an outcome