A type one error is committed when ? A type two error is committed when? Solution type I error, also known as a false positive, occurs when a statistical test rejects a true null hypothesis (H0). For example, if a null hypothesis states a patient is healthy, and the patient is indeed healthy, but the test rejects this hypothesis, falsely suggesting that the patient is sick. The rate of the type I error is denoted by the Greek letter alpha (a) and usually equals the significance level of a test. A type II error, also known as a false negative, occurs when the test fails to reject a false null hypothesis. For example, if a null hypothesis states a patient is healthy, and the patient is in fact sick, but the test fails to reject the hypothesis, falsely suggesting that the patient is healthy. The rate of the type II error is denoted by the Greek letter beta (ß) and related to the power of a test (which equals 1-ß)..

1. A type one error is committed when ?
A type two error is committed when?
Solution
type I error, also known as a false positive, occurs when a statistical test rejects a
true null hypothesis (H0). For example, if a null hypothesis states a patient is healthy, and the
patient is indeed healthy, but the test rejects this hypothesis, falsely suggesting that the patient is
sick. The rate of the type I error is denoted by the Greek letter alpha (a) and usually equals the
significance level of a test. A type II error, also known as a false negative, occurs when the test
fails to reject a false null hypothesis. For example, if a null hypothesis states a patient is healthy,
and the patient is in fact sick, but the test fails to reject the hypothesis, falsely suggesting that the
patient is healthy. The rate of the type II error is denoted by the Greek letter beta (ß) and related
to the power of a test (which equals 1-ß).