1. Michelle Ji, Samantha Shober, April Zhang Block 4 16 May 2011

2.  Tested on 47 students and two teachers  Whether or not hand dominance or sports had affect on reaction times  Test Structure  Participants place fingers on both sides of meter stick (with dominant hand) at 40 cm mark  Meter stick randomly dropped  Participants grasp as soon as possible  Measurement made based on where index finger touched  Categorical Data  Whether or not participants played sports during the school year  Whether or not participants were left/right hand dominant

3.  Shape : Unimodal and slightly skewed right  Center :  Mean (disregarding right skew): 15.3765  Median (to account for right skew): 14  Spread :  Range: 36  Q1: 12  Q3: 20

4.  Majority of the points fit the normal model  With the exception of several points that only slightly fit the model  Roughly linear

5.  Females  Shape : right skewed with one outlier  Center : Median: 16  Spread : Range (with outlier): 31 Range (without outlier): 26 Q1: 13 Q3: 22  Males  Shape : left skewed with no outliers  Center : Median: 14  Spread: Range: 23 Q1: 6 Q3: 17

6.  Sports (Yes)  Shape : approximately normal with three outliers  Center : Median: 14  Spread : Range: 32 Q1: 10 Q3: 20  Sports (No)  Shape : slightly right skewed  Center : Median: 16  Spread : Range (with outliers): 35 Range (without outliers): 16 Q1: 13 Q3: 18

7.  A+M (recorder + dropper)  Shape : (without outlier) approximately normal (with outlier) Right Skewed  Center : Median: 13.5  Spread : Range (with outlier): 35 Range (with outlier): 21 Q1: 7.5 Q3: 16  A+S  Shape : Right Skewed  Center : Median: 16.5  Spread : Range: 23 Q1: 14 Q3: 22.5  S+M  Shape : Left Skewed  Center : Median: 17  Spread : Range : 23 Q1: 12 Q3: 18

8.  Out of the people that we experimented on, more played sports  Out of the people that we experimented on, there were more females

9.  12 males play sports  11 males do not play sports  The proportion of males who play sports is approximately equal to the proportion of males who do not play sports  18 females play sports  8 females do not play sports  The proportion of females who play sports is approximately double the proportion of females who do not play sports

10.  57.89% of people who do not play sports are male  42.11% of people who do not play sports are female  40% of people who do play sports are male  60% of people who do play sports are female  30.77% of females do not play sports  69.23% of females play sports  47.83% of males do not play sports  52.17% of males do play sports

11. Sports vs. Gender are dependent variables Conditional graphs are different

12. State: 1)SRS 2)Categorical Data 3)All expected counts >/= 5 Check: 1)Assumed representative 2)Gender and sport involvement are categorical variables 3)All cell counts >/= 5 We fail to reject Ho because the p- value of 0.22 is > α = 0.05. We have sufficient evidence that gender and sport involvement are not independent.

13. Sampling Errors/Lurking Variables Participant Bias  Phrasing of questions  Ex: Do you play sports? Vs. Do you play sports at South?  Two different people dropping the ruler  Ambidextrous people  Their hand position before catching  Injuries/health complications  Positioning of hand before they caught the ruler  Some people used more fingers  Some people spread their fingers apart  Misunderstanding of test procedure  Misunderstanding of questions being asked  Ex: Perception of ‘sport’

14.  Females (generally) have slower reaction times compared to males  People who play sports usually have faster reaction times  When April and Michelle conducted the research, there were high levels of variability  Sufficient evidence that gender and sports are dependent  Future Plans  More tests (greater population) Non-statistics students Test of age to see if it has an affect on reaction rates