Based on the table, which best predicts the end behavior of the graph of f(x)?
As x, f(x) , and as x → --, f(x) →
As x, f(x) ", and as x → --, f(x) +-".
As x , f(x) -6, and as x →-0, f(x) = .
As x -+-, f(x) +-, and as xn--, f(x) →
—-.

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?