= causes/ explains the change in the dependent variable (in scatter-pot on x-axis)
= measures the outcome of the study (on y-axis)
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2
Q
distributions in two-way table:
joint distribution
marginal distribution
conditional distribution
A
= distribution for each cell - divide number in cell by total sample size
= distribution for a single variable - divide total of a variable by total sample size
= relative frequencies (e.g. given that the person is a boy what is the probability his eyes are not green?) - not divided by total, just by total single variable which is asked for
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3
Q
relationship between 2 quantitative variable
A
–> look for overall patter (form, direction, strength) and striking deviations (outliers, subgroups)