Does the data in the table represent a direct variation or an inverse variation? write an equation to model the data in the table. (x) 1 l 2 l 5 l 10 (y) 40 l 20 l 8 l 4 a: direct variation; y= 40x b: inverse variation; y= 1/40x c: direct variation; xy= 40 d: inverse variation; xy= 1/40

Asample of 200 rom computer chips was selected on each of 30 consecutive days, and the number of nonconforming chips on each day was as follows: the data has been given so that it can be copied into r as a vector. non. conforming = c(10, 15, 21, 19, 34, 16, 5, 24, 8, 21, 32, 14, 14, 19, 18, 20, 12, 23, 10, 19, 20, 18, 13, 26, 33, 14, 12, 21, 12, 27) #construct a p chart by using the following code. you will need to enter your values for pbar, lcl and ucl. pbar = lcl = ucl = plot(non. conforming/200, ylim = c(0,.5)) abline(h = pbar, lty = 2) abline(h = lcl, lty = 3) abline(h = ucl, lty = 3)