An observation classified as part of a group with a characteristic when it actually does not have the characteristic is termed as a(n)
A)false negative.
B)false positive.
C)residual.
D)outlier.

Question

Quizplus · Accepted Answer

A false positive is the incorrect classification of an observation as having a characteristic when it actually does not. False negatives are the incorrect classification of an observation as not having a characteristic when it actually does. Residuals are the differences between an observed value and a predicted value in a regression model. Outliers are observations that are notably different from other observations in a dataset, often due to measurement error or unique factors.

An Observation Classified as Part of a Group with a Characteristic