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. messier randomly picked 10 jelly beans out of a bag of 1000 jelly beans. if she wanted to get a result closer to the theoretical probability of picking each color. what should she do?
a. stop at ten and figure it out from there.
c. pick 50 jelly beans.
b. pick 20 jelly beans.
d. pick 100 jelly beans because the more you try the closer you will get to the theoretical probability.
16. a coach opens a box of boys’ and girls’ basketball uniforms. she makes a tree diagram to show the different colors of uniforms in the box. based on this diagram, what is the probability of selecting a boy's blue uniform?
a. 1/6 c. 1/2
b.1/8 d. 1/3

15. D

16. A

Step-by-step explanation:

15. Statistics functions best on great numbers. For example, let's take the good old head or tail coin toss. We know, since there are only two possibilities, thay the chance for each outcome is 50%. Howewer, if we toss a coin, let's say 5 times, we might end up with 4 heads and 1 tail, or all 5 tails, which obviously isn't 50:50 chance. But if we toss a coin 1000 times we would get much closer result. It still might not be 50:50, but the more times we toss the closer to this outcome results will be. The same goes for this particular case - in order to make any valid statistical conclusion, you need to make as great number of tries as you can.

16. In order to answer correctly, we first need to find out what possible outcomes are there. In the box, there are boys' and girls' uniforms, both in three different colors. Overall, we have boys' blue, boy's brown, boys' red, girls' pink, girls' green and girls' red uniform. So, that's six possible outcomes. Under the condition that there are the same number of uniforms of each of possibilities, chance of selecting one of those, in this case boys' blue uniform, is one in six or 1/6.

i think it is c, not positive though

step-by-step explanation:

the anwser is d) 75°

step-by-step explanation: