Define the Following Terms

question 3

Short Answer

Define the following terms
-mean

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Definitions:

Type II Error

The error that occurs when a statistical test fails to reject a false null hypothesis, mistakenly indicating that there is no effect or difference when there is.

Type I Error

The incorrect rejection of a true null hypothesis, also known as a "false positive."

Type II Error

Occurs when a statistical test fails to reject a false null hypothesis, also known as a false negative.

Null Hypothesis

A hypothesis that states there is no statistical significance between the two variables in the hypothesis. It posits no effect or no difference as a default stance to be tested against.