Lecture+II+-+Gen+Psych+Methods+Jan+24+2013

Of the result happening by coincidence chance is less

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Unformatted text preview: E.g., lots of smoking is correlated with lung cancer Correlations can range anywhere from: -1 to +1 – A perfect, positive correlation (+1) is, for example, the perfect, observation that “when the sun comes up, it gets lighter outside”. outside”. – A perfect, negative correlation (-1) is, “as the sun goes perfect, down, darkness increases” down, – An example of a zero correlation between events is me An sneezing and CY Leung getting kicked out of office. sneezing Statistics VII - Findings If there are so many findings that are less If than 5% likely to have been caused by chance, why do they contradict each other all the time? all – E.g., one day there is a new cure for cancer; the E.g., next day it “doesn’t work” next Problem: one study doesn’t make it true – Hence, meta-analysis; combines data from Hence, many studies and analyzes it all together many Strange Findings Strange The more firemen fighting a fire, the more damage there is The going to be. – Therefore firemen cause damage. Therefore – True??? As ice cream sales increase, the rate of drowning deaths As increases sharply. – Therefore, ice cream causes drowning. – True?? True?? Sleeping with one's shoes on is strongly correlated with Sleeping waking up with a headache. – Therefore, sleeping with one's shoes on causes headache. Therefore, – True?? One of the biggest statistical rules One Correlation DOES NOT PROVE causation – Just because two events happen together does not Just mean that one causes the other!! mean – There are often different reasons for the correlation of There two events two – Often these reasons explain the relationship better than Often the causation of one event by the other the – So if someone says “I took X medicine and my cat got So sick, so this medicine makes my cat get sick”, you should question the causation! question Questions?? Questions??...
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