When a researcher decreases the probability of making a type I error, he or she increases the probability of making a type ii error.
A type I error means that the null hypothesis is rejected if it is actually true. This means concluding that a result is statistically significant if it arises purely by chance or by unrelated factors. The risk of making this mistake is the chosen significance level (alpha or alpha).
The null hypothesis is that the person is innocent while the alternative is guilty. A Type I error in this case means that the person has not been found innocent and has been put in jail, when in fact they are innocent.
Learn more about type I error here: https://brainly.com/question/16012410
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