The weights of running shoes have an unknown distribution with mean 13 and standard deviation 3 ounces. a sample, with size n=70, is randomly drawn from the population and the values are added together. using the central limit theorem for sums, what is the mean for the sample sum distribution?

What is the value of the expression i 0 × i 1 × i 2 × i 3 × i 4? 1 –1 i –i

Iknow its nothing to do with education, but what type of thing should i wrote here? ? : ) its for mcdonald's btw.

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?