False positive paradox

False positives and false negatives

Types of error in data reporting, where false positive is an error in which a test result incorrectly indicates the presence of a condition, while a false negative is the opposite error where the test fails to indicate the actual presence

Nº Q18207010 ★★

Simpson's paradox

Phenomenon in probability and statistics, in which a trend appears in several different groups of data but disappears or reverses when these groups are combined

Nº Q757290 ★★★

False positive

Mistaken rejection of a null hypothesis which is actually true

Nº Q1369227 ★★

Berkson's paradox

Tendency to misinterpret statistical experiments involving conditional probabilities

Nº Q4344852 ★★

Nonparametric statistics

Branch of statistics that is not based solely on parametrized families of probability distributions

Nº Q1097688 ★★

Probability of default

Used in finance

Nº Q778470 ★