Types of errors (statistical testing)

Which of the following refers to a type I error?

• When a researcher wrongly accepts the results as being significant.

• When a researcher wrongly accepts the results as not being significant.

Which of the following refers to a type II error?

• When a researcher wrongly accepts the results as being significant.

• When a researcher wrongly accepts the results as not being significant.

A type I error involves a researcher wrongly accepting which hypothesis?

• Alternative

• Null

A type I error involves a researcher wrongly rejecting which hypothesis?

• Alternative

• Null

A type II error involves a researcher wrongly accepting which hypothesis?

• Alternative

• Null

A type I error involves a researcher wrongly rejecting which hypothesis?

• Alternative

• Null

A type I error is most likely to occur when a researcher has been too...

• Lenient

• Strict

A type II error is most likely to occur when a researcher has been too...

• Lenient

• Strict

Which p-value is most likely to lead to a type I error?

• 0.1

• 0.05

• 0.01

• 0.025

Which p-value is most likely to lead to a type II error?

• 0.1

• 0.05

• 0.01

• 0.025