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Minute to Win it

Minute to Win it. Joanna Curran and Brianna Baer. The subject was given a large pile of pennies They could choose which hand and which finger on that hand to balance the pennies on They had one minute to balance as many pennies as possible on one finger

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Minute to Win it

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  1. Minute to Win it Joanna Curranand Brianna Baer

  2. The subject was given a large pile of pennies • They could choose which hand and which finger on that hand to balance the pennies on • They had one minute to balance as many pennies as possible on one finger • Subjects were allowed to straighten the pile along the way and restack if they fell within the time limit The Mission

  3. Shape-Bimodal, roughly symmetric, contains a gap • Center-mean is at 14.775 pennies • Spread-Range is 12, standard deviation is 2.75017 Our Data (Number of Pennies)

  4. Data is linear with a strong correlation • Data fits normal probability plot • Normal data Normal Model

  5. Shape- both female and male are roughly symmetrical, one outlier in female box plot • Center-median of females is lower with 14 pennies than median of males with 16 pennies • Spread-females have a larger range of 12 and std. deviation of 2.64534, whereas males have a range of 10 with a std. deviation of 2.67889 Gender vs.Number of Pennies

  6. Shape-index is right skewed with one outlier, middle is left skewed with one outlier, thumb is an outlier • Center-median of index is lower at 14.5 pennies than the median of middle with 15 pennies • Spread-the range of index is smaller with 12 and std. deviation of 2.70131 than the range of middle at 16 and std. deviation of 2.92232 Finger vs.Number of Pennies

  7. Shape-both have roughly symmetrical distributions and no outliers • Center-median of Brianna is lower at 14 pennies and Joanna’s median is at 15 pennies • Spread-Brianna has a larger range at 12 with a std. deviation of 2.98089 and Joanna has a range of 10 with std. deviation of 2.6032 Partner vs. Number of Pennies

  8. Two- Way Table of Categorical Data

  9. Marginal Distribution of Hand

  10. Marginal Distribution of Finger

  11. Conditional Distribution of Hand

  12. Since the conditional distributions do not match up with the marginal distributions, our variables of hand and finger are proven to be dependent Dependence of Categorical Variables

  13. In conclusion, we have found which of the subjects were most successful in performing this task. The subjects that used their middle finger on their right hand were the most successful since they had the highest and best results. We also found that the male subjects were most successful in this test no matter which hand or finger they chose to use, they seemed to be able to balance more pennies than the female subjects. Conclusion

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