Question

What is a type I error?

Select one:

a. reject Ho when it is true

b. fail to reject Ho when its not true

c. beta risk

d. reject Ha when it is false

Answer 1

Ans:

Option a is correct.

Reject H_o when it is true.

Type I error

When the null hypothesis is true and you reject it, you make a type I error. The probability of making a type I error is ?, which is the level of significance you set for your hypothesis test. An ? of 0.05 indicates that you are willing to accept a 5% chance that you are wrong when you reject the null hypothesis. To lower this risk, you must use a lower value for ?. However, using a lower value for alpha means that you will be less likely to detect a true difference if one really exists.