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The null hypothesis is an overall explanation that expresses that there is no correlation between two peculiarities viable or that there is no association between two gatherings. An alternative hypothesis is an explanation that describes that there is a relation between two chosen variables in a study

Mean systolic blood pressure is $130$

Now,

$H_0:\mathrm{μ}=130$as per the null hypothesis

$H_a:\mathrm{μ}>130$as per the alternative hypothesis

Thus, systolic pressure = $130$for null hypothesis and more than$130$for alternative hypothesis.

Type I error- Null hypothesis is correct and it is dimissed. The mean systolic pressure is equivalent to $130$yet the test indicates that the mean systolic tension is more. Thus, the outcome is that they have high circulatory strain and made a move against a high pulse however in reality they don't have a high pulse.

In Type Il error- when the null theories are valid then a rejection of $H_0$additionally failed.

The mean systolic strain is more than $130$yet the test indicates that the mean systolic tension is equivalent to $130$. Thus, the result is that they have typical circulatory strain and did not make a move against high pulse however in reality they have high pulse and action ought to be taken.

Type II error probability should be smaller as the person can die since there is no treatment for high blood pressure.