Light bulbs produced by a particular manufacturing company certify that they have a defect rate of 0.3% or lower. The company would like to determine whether bulbs produced on a new assembly line can still certify to the 0.3% defect rate. The manufacturer collects a simple random sample of 1119 light bulbs manufactured on the new assembly line and calculates a 99% confidence interval for the true proportion of defects on the new assembly line from the data. The confidence interval is (0 196.0.2%). Using this confidence interval, is it appropriate to keep the defect rate certification? ion a. Yes, because we are 99% confident that the true proportion is in the interval (0.1%,0.2%).
b. No, because we cannot make conclusions about the true defect rate without measuring each bulb.
c. No, because np and ng are not bigger than 10.00
d. Yos, because the true proportion is 0.2%

Lydia collected two sets of data one set of data shows an outlier. which set has an outlier, and which number is the outlier?

The measures of the legs of a right triangle are 15m and 20m . what is the length of the hypotenuse

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?