1. Are you game? Timothy Kariger and Taylor Young Coin Slide

2. The procedure Participants slide coins across a desk, trying to get the coin to stop in a goal zone marked by tape. Categories of data we recorded are: finger used to slide coin, gender, preferred coin, and number of coins landed

3. Quantitative data Mean- 17.26 Min-4 Q1- 12 Median- 23 Max- 29 Roughly uni model Roughly symmetric

4. Normal model? Normal probability plot is linear Number of coins landed follows a normal distribution

5. Quantitative vs gender 22 girls total 17 boys total Mean coins landed Girls- 17.18 Boys- 17.35 Median for girls: 19.5 Median for boys:16 Quartiles for genders- Girls- Q1=11, Q3=23 Boys-Q1=12, Q3=23 Min and max (range) Girls- 6,26(20) Boys- 4, 29(25)

6. Finger used vs. Amount of coins landed Highest number of coins landed: 29 29 coins were landed in two different trials Both a pointer finger and a middle finger landed 29 coins More people used pointer fingers (31 to 8) Median number of coins landed: Middle- 18 Pointer- 19 Mean number of coins landed: Middle- 16.75 Pointer-17.39

7. Quantities data by partner Under Tim mean coins landed= 16.53 Median coins landed=16 Min=4 max= 29 Quartiles- Q1= 11, Q3= 23 Under Taylor Mean coins landed=17.7 Median coins landed=19.5 Min= 7 max= 29 Quartiles- Q1= 13, Q3=22.5

8. Overall Categorical data

9. Marginal's 56.4% tested were female 43.5% tested were male % of preferred Dimes- 10.3 Nickels- 15.4 Pennies- 10.3 Quarters- 64.1

10. Conditionals Percent of females that preferred: Dimes- 18.2 Nickels- 22.7 Pennies- 4.5 Quarters- 54.5 Percent of males that preferred: Dimes- 0 Nickels- 5.9 Pennies-17.6 Quarters- 76.5

11. Conditionals % of dimes preferred by: Females- 100 Males- 0 % of nickels preferred by: Females- 83.33 Males-16.67 %of pennies preferred by: Females-25 Males-75 %of quarters preferred by: Females- 48 Males- 52

12. Independence between gender and preferred coin? Conditions for Chi squared test for independence were not met 2 Expected counts were not greater than 5 If Marginal of Gender=conditional of coins, then the two are independent But because the percentages of the conditionals are not similar, the two have some dependence.

13. Conclusion Females were more consistent Tim was a harder judge, the mean and median of his scores were lower Quarters were most popular coin Gender affects preferred coin Lurking Variables- Coins displayed to participants may not have been evenly distributed Harshness of judge could affect number of coins landed