The diameter of ball bearings produced in a manufacturing process can be explained using a uniform distribution over the interval 3.5 to 5.5 mm. what is the probability that a randomly selected ball bearing has a diameter greater than 4.4 mm

The answer is 0.55.
We can calculate this as;
P(x>4.4)=(5.5-4.4) / (5.5-3.5)
= 1.1 / 2
P(x>4.4) = 0.55

C. expression because any expression or equation may contain more than one variable

In all honesty, there really is no “work” per say to show. mainly it’s just using the process of elimination. the question is asking which domain(s) would be the most appropriate for the function c(n). n is the number of observed vehicles so right away, 1, 2, and 3 can be eliminated.why? 1, 2 start in the negatives and therefore it is impossible to observe negative cars. so, #4 would be the best answer to the given problem.