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Definitions and explanations of key statistical concepts, including statistical significance, cluster random sampling, stratified random sampling, multifactor design, matched pairs design, and prospective research. It also highlights the importance of multiple studies in building a strong case over time.
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TERM 1
DEFINITION 1 Statistical significance is a statistical assessment of whether observations reflect a pattern rather than just chance. How rare is the event?How likely is an event to have occurred at random?...VS...How likely is an event to have occurred not at random? TERM 2
DEFINITION 2 -break population into "clusters"-randomly select clusters to survey- survey selected clusters- good alternative when you cant get a simple random sample- downside need large sample to get some margin of error TERM 3
DEFINITION 3
DEFINITION 4 factors = explanatory variables- divide up the subjects so there are subjects getting all possible combinations of the factors TERM 5
DEFINITION 5
TERM 6
DEFINITION 6 Prospective literally means "looking forward". It can also refer to an event that is likely or expected to happen in the future. TERM 7
DEFINITION 7 multiple studies build a strong case over time