PSYCHOLOGY - True or False
A Type I 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.

In statistics, a type I error consists of, in a hypothesis test, rejecting the null hypothesis when it is true. In other words, a type I error is made when a result is reached that has statistical significance when in fact it happened by chance. This error is therefore also called False Positive.

Type II error is the error that occurs when the statistical analysis of the data can not reject a hypothesis, in case this hypothesis is false.

PSYCHOLOGY - True or False A Type I 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.

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PSYCHOLOGY - True or False
A Type I 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.