In testing a proportion, which of the following statements is incorrect? multiple choice when the sample proportion is p = .02 and n = 150, it is safe to assume normality. an 80 percent confidence interval is narrower than the 90 percent confidence interval, ceteris paribus. the sample proportion may be assumed approximately normal if the sample is large enough. using α = .05 rather than α = .01 would make it more likely that h0 will be rejected.

Long division the problem is 40 ➗ 348 = ?

Can someone explain to me how to do

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?