Answer:
Type II error has been made.
Step-by-step explanation:
Type II error which is sometimes called beta error is a statistical term that refers to failing to reject a null hypothesis when it is in fact false. This means that a false idea is accepted as true. It confirms an idea that should have been rejected, claiming the two observances are the same even though they are different.
The researcher concluding that there is no significant difference in criminal propensity among individuals living in an urban versus suburban environment when there actually is means he has made a Type II error.