What allows us to apply normal calculations to non normal distributions?

Central limit theorem

Step-by-step explanation:

The central limit theorem in Statistics states that whenever sample sizes become large, and random samples are drawn, the mean of all sample means will follow a normal distribution irrespective of the original distribution to which it belongs to.

In those cases, especially in hypothesis testing for random samples, inferences about population parameters we apply normal calculations to non normal distributions.

10.416 m/s

step-by-step explantion:

distance=100m

time= 9.6s

average speed=100/9.6

=10.416 m/s