Abox contains shirts in two different colors and two different sizes. the number of shirts of each color and size are given in the table. from the data in the table we can infer that

From the table we see that 48 of the 165 shirts are red mediums, so the probability is

48/165 = 29.1 %

idk if this helps or not sorry if ot dose not help

P(large shirt | red shirt) = P(red shirt)

Step-by-step explanation:

I just did the math and saw which ones were equal to each other.

The amount of large shirts in the red shirt section is 42/90. That simplifies to 6/11.

The amount of red shirts out of the total is 90/165. That also simplifies to 6/11.

Therefore, P(large shirt | red shirt) = P(red shirt)

it has the same slope and a different y-intercept

hope this : )

fwms@lil_ben06

step-by-step explanation: