TYPE 1 Error or TYPE 2 Error?

Question

Experimenter does a study to see if kids with large vocabulary score higher on an intelligence test than average. Which type of error is it? Can u explain me this I don’t understand. Thanks

Answer 1

You don't have enough information to answer your question.

Type I error is that a relationship does NOT exist, but the data you generate imply that one does.

Type II error is that a relationship DOES exist, but the data you generate does not identify it.

Without the outcome data, there is no way to know.

Answer 2

Type I error is rejecting the null hypothesis when it's true.
Type 2 error is not rejecting the null hypothesis when it's false.
The null and alternative hypotheses here are
H0 : No difference between kids' score with large vocabulary and average kids on an IQ test
H1 : There is a difference.
(You have to compute a test statistic from a set of scores collected from both sets of children, choosing an appropriate test).
If you rejected H0 falsely, and accepted H1, you had committed Type I error. If you did not reject H0 while H1 was true, you had somewhat accepted a false hypothesis and had committed Type 2 error.

Answer 3

there should be an error first to determine it's type...

Answer 4

this is a statistic question ?

try this link

http://www.cas.lancs.ac.uk/glossary_v1.1/hyptest.html