Atype 1 statistical error occurs when a researcher claims that there is not enough support to establish significance for the research hypothesis, but in fact there is enough. true or false?

The answer is: False

"When a researcher claims that there is not enough support to establish significance for the research hypothesis, but in fact there is enough."

The previous statement is a Type II statistical error because it refers to the acceptance of a false null hypothesis when in reality false (false negative). In this case the researcher is oblivious to the fact that there is enough to support the hypothesis (a true null hypothesis) and yet claims that there isn't (acceptance of the false hypothesis).  

well since twins have about the same dna they dont have one think in common which is the figer print. nobodys fingerprint is the same. if your using twin you would most likely get around the same results for both of them because of the genetics.. i hope this

this headline suggests that midterm congressional   elections are at the corner and trump administration wants to activate his base by vowing to clamp down on immigrants and immigration as trump had said during his election campaign around two years ago. when a baby is born in usa, the baby becomes citizen of usa for 85 years and trump wants to end this rule of birthright citizenship to control illegal immigration and this what he said in an interview""we’re the only country in the world where a person comes in and has a baby, and the baby is essentially a citizen of the united states for 85 years, with all of those benefits,” "