Asked by Anwar Guzman on Sep 30, 2024

There is an inverse relationship between the probabilities of Type I and Type II errors; as one increases,the other decreases,and vice versa.

Inverse Relationship

A relationship between two variables in which an increase in the value of one variable leads to a decrease in the value of the other variable, and vice versa.

Type I Error

The mistaken dismissal of a correct null hypothesis, referred to as a "false positive."

Type II Error

A statistical mistake made by failing to reject a false null hypothesis, also known as a false negative.

  • Analyze the association between significance thresholds and varieties of errors.
  • Acknowledge the implications of modifying the level of significance on the probability of Type I and Type II errors occurrence.