Question

A social psychologist is interested in whether lowering a person's self-esteem increases their level of aggression. All of her participants complete a difficult math exam and some of them are given inaccurate, negative results (e.g., "you missed all of the questions," or "this is the lowest score I've ever seen") that are designed to lower their self-esteem. Other participants do not receive the negative feedback. Later on, all the participants are given the opportunity to shock another person (presumably as part of a different study). Imagine that the researcher in this example made a Type I error. What could this mean?

Answer 1

Answer: The researcher has said low self esteem is the cause for an increased aggression which in reality it does not

Step-by-step explanation:

what is type l error?

This is a statistical term used in hypothesis testing which reject a statement of a true hypothesis whereas

in type II error a false hypothesis is not rejected.

So the hypothesis is said to be false when it is actual true in type ll error.

This means as the low self esteem was tested and doesn't seem to show an signs of aggression but it is still said to be the cause or it is still accepted as the cause.