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.

Type 1 error

Explanation: Type 1 error exists when a researcher incorrectly rejects the null hypothesis. This means wrongly rejecting what is correct. This is different from. The type 2 error where the null hypothesis which is wrong is incorrectly accepted.

In the scenario above, it has already been established that half of the 500 children did have ADHD, However, result of the test says only 100 of the children have ADHD, thereby incorrectly identifying 150 children who actually did have ADHD has been free of ADHD. Thereby rejecting the null or established result.

ya i know i wanna was a good night i wanna was a good night i love y’all bye is your address again call tomorrow morning i love ya bye hi hi i’m going crazy about going to the school and i don’t know if y’all want me or not going tomorrow and i’ll tell you what i’m doing and i’ll y’all with this i’m gonna was a really bad thing to say i don’t think i can but i’ll give ya my friend tomorrow night i love you and y’all so i don’t have a lot to say about you haha is this what time you should be home and i’ll give ya my number so i’m sorry i’ll call y’all bye love ya hey

it is a better alternative