Mathematical procedures for organizing collections of data, such as determining the mean, the median, the range, the variance, and the correlation coefficient
Mathematical analysis that allow researchers to draw conclusions regarding the reliability and generalizability of their data.
(statistics) the entire aggregation of items from which samples can be drawn
a quantity (such as the mean or variance) that characterizes a statistical population and that can be estimated by calculations from sample data
the small group of participants, out of the total number available, that a researcher studies
the summary description of a variable in a sample, used to estimate a population parameter
Making generalizations from the sample based on probability. Calculate this by P-values & Confidence Intervals
A percentage or decimal value that tells how confident a researcher can be about being correct; it states the long-run percentage of confidence intervals that will include the true population mean.
A critical probability associated with a statistical hypothesis test that indicates how likely an inference supporting a difference between an observed value and some statistical expectation is true. The acceptable level of Type I error.