You can model the population of a certain city between the years 1965 and 1995 by the radical function p(x) = 75,000 ^3sqrt x-1940. using this model, in what year was the population of that city 245,000
a.1973
b.1975
c.1979
d.1970

Restrictions on f(x) = 1/x+5 and g(x) = x-2

Amachine that produces a special type of transistor (a component of computers) has a 2% defective rate. the production is considered a random process where each transistor is independent of the others. (a) what is the probability that the 10th transistor produced is the first with a defect? (b) what is the probability that the machine produces no defective transistors in a batch of 100? (c) on average, how many transistors would you expect to be produced before the first with a defect? what is the standard deviation? (d) another machine that also produces transistors has a 5% defective rate where each transistor is produced independent of the others. on average how many transistors would you expect to be produced with this machine before the first with a defect? what is the standard deviation? (e) based on your answers to parts (c) and (d), how does increasing the probability of an event a↵ect the mean and standard deviation of the wait time until success?

What ratio is proportional to 18/21