Question

ch 18 a \false negative,\ in which no effect is detected when in reality one exists, is an example of

random error.

margin of error.

a type i error.

a type ii error.

Explanation:

In hypothesis testing, a Type II error occurs when we fail to reject a null hypothesis that is actually false. A "false negative" (no effect detected when one exists) aligns with the definition of a Type II error. A Type I error is rejecting a true null hypothesis (false positive). Random error is general variability. Margin of error relates to confidence intervals.

Answer:

a Type II error.