a test to screen for a serious but curable disease is similar to hypothesis testing. in this instance, the null hypothesis would be that the person does not have the disease, and the alternate hypothesis would be that the person has the disease. if the null hypothesis is rejected, it means that the disease is detected and treatment will be provided to the particular patient. otherwise, it will not. assuming the treatment does not have serious side effects, in this scenario, it is better to increase the probability of
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In case if no serious side effects are there, then it is better to increase the probability of making a type I error of offering treatment when it is not needed, in spite of not providing treatment when it is required.
A type I error refers to the rejection of a true null hypothesis in the statistical hypothesis testing, while a type II error refers to failing to reject a false null hypothesis.
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