Question

The researcher understands that a type 1 error occurs when the ______

A. data are not measured at the interval level

B. results are not significant

C. results indicate a significant difference when in reality there is no difference

D. wrong statistical procedures are used

Answer 1

A Type 1 error occurs when the researcher incorrectly rejects a true null hypothesis, thinking there is a significant difference when there actually isn't.

Step-by-step explanation:

The researcher understands that a Type 1 error occurs when the results indicate a significant difference when in reality there is no difference. This can be considered as a false positive. It occurs when the null hypothesis is true, but is incorrectly rejected as false based on the sample data.

Type 2 error, on the other hand, is the error of failing to reject a false null hypothesis. In other words, a Type 2 error occurs when the researcher concludes there is no effect when, in fact, there is one.