Interpreting

/Interpreting

Simpson’s Paradox

“A paradox in probability and statistics, in which a trend appears in different groups of data but disappears or reverses when these groups are combined.” Source: Gabriel Weinberg's Mental Models I Find Repeatedly Useful

2018-09-24T08:36:42+00:00

Inflection Point

“A point on a curve at which the curve changes from being concave (concave downward) to convex (concave upward), or vice versa.” Source: Gabriel Weinberg's Mental Models I Find Repeatedly Useful

2018-09-24T08:36:41+00:00

Bayes’ Theorem

“Describes the probability of an event, based on conditions that might be related to the event. For example, suppose one is interested in whether a person has cancer, and knows the person’s age. If cancer is related to age, then, using Bayes’

2018-09-24T08:36:39+00:00

Confidence Interval

“Confidence intervals consist of a range of values (interval) that act as good estimates of the unknown population parameter; however, the interval computed from a particular sample does not necessarily include the true value of the parameter.” (related: error bar) Source: Gabriel

2018-09-24T08:36:39+00:00

False Positives and False Negatives

“A false positive error, or in short false positive, commonly called a ‘false alarm’, is a result that indicates a given condition has been fulfilled, when it actually has not been fulfilled…A false negative error, or in short false negative, is where

2018-09-24T08:36:36+00:00

Major vs Minor Factors

Major factors explains major portions of the results, while minor factors only explain minor portions. (related: first order vs second order effects — first order effects directly follow from a cause, while second order effects follow from first order effects.) Source: Gabriel

2018-09-24T08:36:34+00:00