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When asked to describe a univariate distribution always remember to describe:
context, shape, outliers, center, spread
Interpret standard deviation:
the typical distance of a value from the mean (IN CONTEXT)
Interpret z-score:
the # of standard deviations a value is above/below the mean (IN CONTEXT)
How we describe bivariate data:
context, direction, outliers, form, strength
Interpret y-intercept of LSRL
the PREDICTED value of the response variable when the value of the explanatory variable is 0 (IN CONTEXT)
Interpret slope of LSRL:
the PREDICTED change in value of the response variable when the value of the explanatory variable increases by one (IN CONTEXT)
Residual
y - y(hat) (actual minus predicted)
Interpret r2
the proportion of variation in y that can be explained by the regression model of y on x (IN CONTEXT)
Interpret s:
the standard deviation of the residuals which is the typical distance between the actual y-values and the predicted y-values (IN CONTEXT)
SRS -Simple Random Sample -
Gives every possible sample of the desired size (n) an equal chance to be chosen
Four principles of a well designed experiment:
Comparison, Random Assignment, Replication, Control