91影视

Given,

In the case of life-threatening injuries, victims generally need medical attention within $8$minutes of the accident. Several cities have begun to monitor emergency response times.

Mean population is $125.7$

The sample size is $45$

Calculating the null and alternative hypotheses,

$H_0:渭=6.7$

The mean response time is equal to $6.7$minutes as per the null hypothesis.

$H_0:渭<6.7$

The mean response time is less $6.7$minutes as per the alternative hypothesis.

In Type l error, when the null hypothesis is valid then it is dismissed.

Accordingly, the mean reaction time is equal to $6.7$minutes, however, the test shows that the mean reaction time is less. Consequently, the reaction time has improved and the preparation doesn't need to be improved, however actually the preparation needs to move along.

In Type Il error, when the null hypothesis is valid then its dismissal also failed.

Along these lines, the mean reaction time is less than$6.7$ minutes, while the test demonstrates that it isn't less. Thus, rather than the reaction time, preparation should be improved, yet in reality, the preparation should not be gotten to the next level.

Type I error is more serious in this setting as the preparation has been worked on in Type II error however in Type I error, the preparation isn't worked on yet in reality preparing should be worked on in Type I error.