Question

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 1

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).

Answer 2

Option B.

Explanation:

The non-uniform probability is when the event is not same in the occurring of event.

Option A is uniform because there will be equal chance of getting head or tail.

Option B is non-uniform because sum can be any number if we get(3,4) it will be 7 and if we have (2,3) then it will be 5.

Option C is uniform because we have equal number of red and green balls so, selecting a ball from both will be same.

Option D is uniform because chance of 1,2,,3,4,5 or 6 will be equal chance from rolling a die that is 1/6 in all cases.

Therefore, Option B is correct