P(A $\cap$ B) $\ge$ P(A)

question 14

True/False

P(A $\cap$ B) $\ge$ P(A)

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Definitions:

Effect Size

A quantitative measure of the magnitude of a phenomenon, used to indicate the size of an effect or difference found in a study.

Type I Error

The incorrect rejection of a true null hypothesis, or a "false positive," in hypothesis testing, indicating that the test suggests an effect that does not actually exist.

Type II Error

A statistical term referring to the error that occurs when a false null hypothesis is not rejected, indicating a false negative finding.

Type II Error

The error that occurs when a false null hypothesis is not rejected; failing to detect an effect that is present.