Horatio has developed a new test for ADHD. He is trying out his new test on about 500 children, half of whom have already been diagnosed with an established clinical measure. The results of his new test say only 100 of the children have ADHD and the rest do not. In this case, the new test has missed identifying 150 children who really did have ADHD. This example illustrates making a(n) error during hypothesis testing. Group of answer choices Type I Type II null hypothesis alternative hypothesis

Type I error

Explanation:

Type I error is a statistical significance. It does not prove the correct result in a research hypothesis. Here the p-value is based on the probabilities.

In this phenomenon, there are always chances of making an incorrect conclusion. It is related to accepting and rejecting the null hypothesis.

In this research, there are another four options possibilities in which there are two correct and two incorrect error representation. These errors are inversely proportioned.

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