Jeremy measured QA and AD after performing a dilation. Which statements
are true about this dilation?
A. QB = {QE
B. QC = CF
C. DE = 2AB
D. AC =
= EF
E. If BC = 2.25 then EF = 2.25
Q
True
False
A.
o
B.

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?

Why is causation so much more difficult to prove than correlation?

The range of the following relation r {(3, -5), (1, 2), (-1, -4), (-1, 2)} is (1 point){-4, -5, 2, 2){-1, 1, 3){-1,-1,1,3){-5, -4,2)