QuestionSBA
QuestionChoice
This is the correct definition of a type I error. It occurs when a test detects a difference or effect that, in actuality, does not exist.
10002027
a
A type I error is a statistical error that occurs when a test concludes that a difference or effect exists when one does not exist
QuestionChoice
This is the definition of a type II error, also known as a false negative.
10002030
d
A type I error is a statistical error that occurs when a test fails to detect a difference or effect that actually exists
QuestionChoice
In statistics, precision refers to how close multiple measurements of the same quantity are to one another. It does not cause type I errors. A type I error is caused by setting a low threshold for rejecting the null hypothesis, which results in an increased likelihood of falsely identifying an effect when there is none.
10002031
e
A type I error is a statistical error that occurs when a test is too precise
QuestionChoice
In statistics, sensitivity is the ability of a test to correctly identify positive cases. It does not cause type I errors. A type I error is caused by setting a low threshold for rejecting the null hypothesis, which results in an increased likelihood of falsely identifying an effect when there is none.
10002029
c
A type I error is a statistical error that occurs when a test is too sensitive
QuestionChoice
In statistics, specificity refers to the ability of a test to correctly identify negative cases. It does not cause type I errors. A type I error is caused by setting a low threshold for rejecting the null hypothesis, which results in an increased likelihood of falsely identifying an effect when there is none.
10002028
b
A type I error is a statistical error that occurs when a test is too specific
Concept
Chapter
2693
4002
Types of Errors
Topic
185
Ethics & Law
12952
Which of the following statements about type I errors is correct?
a