Carl intends to flip a coin 100 times. what probability model can he use to predict whether or not a particular toss will give a result of heads? each toss has a 0.1 percent chance of a heads result. each roll has a 0.01 percent chance of a heads result. each toss has a 0.5 percent chance of a heads result. each toss has a 0.05 percent chance of a heads result.

The number of pages in the u.s. tax code exceeds the number of pages in the king james bible by 18,528. the combined number of pages in the tax code and the bible is 21,472

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?

Which sequence is arithmetic? 6, 12, 15, 21, 7, 14, 21, 36, 8, 16, 32, 64, 9, 18, 27, 36,