Which describes a non-uniform probability model? A) heads or tails from a coin flip B) the sum result of rolling two dice C) selecting a ball from 3 red balls and 3 green balls D) the chance of a 1, 2, 3, 4, 5, or 6 from rolling a die

Answer: The answer is (B) the sum result of rolling two dice.

Step-by-step explanation: We are given four options and we are to choose which one describes a non-uniform probability model.

Option (A) describes a uniform probability model, because here the probability of getting a head or a tail is same, i. e., 50%.

Option (B) describes a non-uniform probability model, because here the probability of getting a sum of 2 and 3 are different. For getting sum of 2, we have only one possible outcome (1,1), but for getting a sum of 3, we have two possible outcomes (1,2) or (2,1).

So. probabilities are 2.77% and 5.55%.

Option (C) describes a uniform probability model, because here the probability of selecting a ball from 3 red balls and 3 green balls is same, i. e., 50%.

Option (D) also describes a uniform probability model, because here the probability of getting 1, 2, 3, 4, 5 or 6 is same, i. e., 16.67%.

Thus, the correct option is (B).