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After being late for the third day in a row, an actuary developed a model to help determine the number of red lights they would
After being late for the third day in a row, an actuary developed a model to help determine the number of red lights they would hit from their house to their job. They created the following probability model: p ( r) = 4 (r+ l) (r+ 2) where ,- represents the number of red lights they would hit on a given day. Using this model, calculate the probability of hitting at least one red light, given they hit at most four red lights that day. a, 1/3 b. 2/5 c_ 1/2 d.3/5 e_5/6
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