Jose looked at the raw data and discovered that the 54 data values included both the city and the highway mileages for 27 cars. he used the city mileages for the 27 cars to make the histogram in figure 2-10(b). uding this information from figure 2-10, parts (a) and (b), construct a histogram for the highway mileages of the same cars. use Class boundaries, 16.5, 20.5, 24.5, 28.5, 32.5, 36.5,, 40.5.

126 maybe. sorry

answer:   35 % is the probability of a late departure or an early arrival.

step-by-step explanation:

let l represents the late departure and e represents the early departure.

then, according to the question,

p(l) = 12 %,   p(e) = 27 % and = 4 %

and, we have to find out,

but, we know that,

which is the required equation that will use to find the probability of a late departure or an early departure.

therefore,   the probability of a late departure or an early arrival =   35 %

x-150=475   x=625

step-by-step explanation:

if the bike after the sale ($150) is $475 then just simply add 150 to 475.