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Probability in Balls

By Nick and Diamond. Probability in Balls. Our Initial Data. Number of Balls: 16 Number of Colors: Blue: 1 Violet: 2 Green: 2 Yellow: 2 Red: 4 Orange: 5. Simple Probability of choosing 1 color out of box with 16 balls of 6 different colors.

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Probability in Balls

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  1. By Nick and Diamond Probability in Balls

  2. Our Initial Data • Number of Balls: 16 Number of Colors: • Blue: 1 • Violet: 2 • Green: 2 • Yellow: 2 • Red: 4 • Orange: 5

  3. Simple Probability of choosing 1 color out of box with 16 balls of 6 different colors. In this data, we pulled out one single ball out of the box and put it back in 128 times. From this, it shows that there is a direct correlation between the amount of balls with the same color and those with only 1 of their color in the box (Blue vs. Red/Orange). We can also see the correlation between E.P. and T.P which was normally in very close range showing that with more trials we would have achieved ideal probability.

  4. Compound Probability w/ Replacing of choosing 2 a color sequence with replacement. Nicholaas W Zomer & Diamond Wolins

  5. Compound Probability w/out replacingof choosing 2 a color sequence without replacement. Nicholaas W Zomer & Diamond Wolins

  6. Conclusion From this information, we can infer many things about experimental probability, and theoretical probability. The differences in numbers are not that huge, but there are clear differences in regards to E.P. and T.P. If we might have had a million trials compared to the mere 128 that we did, we might have gotten much closer to a perfect probability, T.P. In our trials the difference between T.P. and E.P. was normally around 5-1o showing the closeness in the probabilities. Theoretical and Experimental probabilities are both important because they show what hypothetically is perfect and what actually happens.

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