Binomial Distribution

Which of the following could be the set of all possible outcomes for a random variable that follows a binomial distribution? A) (-1, 0, 1). B) (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11). C) (0, 0.5, 1, 1.5, 2, 2.5, 3). D) (1, 2). Your answer: D was incorrect. The correct answer was B) (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11). This reflects a basic property of binomial outcomes. They take on whole number values that must start at zero up to the upper limit n. The upper limit in this case is 11. This question makes no sense to me. Can anyone do a better job of explaining this than Schweser–it shouldn’t be hard :slight_smile:

weird you think they meant discrete uniform?

I think that I figued it out… If you are selecting from x number of trials you can have x-0 possible successes. Therefore, you have to start at 0, and C is wrong because you couldn’t have 1.5 successes.

oh, makes sense