“Minute to

Win It!”

Introduction• Our project dealt with seeing how

many quarters a student could toss into a jar within one minute.

• After one minute, the student was no longer able to toss quarters into the jar and we then counted the number of quarters they made into the jar.

• We recorded the variables of gender, eye color, hair color, number of quarters made into the jar.

Quantitative • Gender• Eye Color• Partner Categorical

• Gender• Eye Color• Hair Color

• Gender v. Eye ColorConclusion

2

4

6

8

10

Number_of_Quarters_In0 2 4 6 8 10 12 14

Project 1 Histogram

Number_of_Quarters_In0 2 4 6 8 10 12

Project 1 Box Plot

Histogram

Boxplot

Mean: 4.97 quarters

Std. Dev.: 2.90

quarters

Min: 1 quarter

Q1: 2 quarters

Med: 5 quarters

Q3: 7 quarters

Max: 11 quarters

IQR: 5 quarters

Summary Stats

No Outliers:Q1-(1.5 x IQR)2-(1.5 x 5)-5.5Q3+(1.5 x IQR)7+(1.5 x 5)14.5(-5.5,14.5) quarters = accepted range

#3. #4.

#5.

Shape: Right Skewed and UnimodalCenter: Center @ Median=5 quarters and IQR=5 quartersSpread: Range = (1,11) with no outliers

No, it is not a normal a normal curve because it is right skewed.1 Std. Dev. (2.07-7.87) = 47.06%2 Std. Dev. (-0.83,10.77) = 97.06%3 Std. Dev. (-3.73,13.67) = 100%

FM

Number_of_Quarters_In0 2 4 6 8 10 12

Project 1 Box Plot

Gender: Boxplot

Mean: 3.69 quarters

Std. Dev.: 2.62

quarters

Min: 1 quarter

Q1: 2 quarters

Med: 2 quarters

Q3: 5 quarters

Max: 9 quarters

IQR: 3 quarters

Count: 13 quarters

Mean: 5.76 quarters

Std. Dev.: 2.83

quarters

Min: 1 quarter

Q1: 4 quarters

Med: 5 quarters

Q3: 7 quarters

Max: 11 quarters

IQR: 3 quarters

Count: 21 quarters

Female

Male

#3.

#4.

Shape: The shape for the females was right skewed whereas the shape for the males was symmetrical. Both were unimodal.Center: The median of the female’s data was 2 quarters which was lower than the median of the male’s data at 5 quarters. The IQR of the female’s data was 3 quarters which was equal to the IQR of the male’s data also at 3 quarters.Spread: The range for the female’s data was (1,9) quarters which is narrower that the range for the male’s data at (1,11) quarters. Neither of the sets of data had any outliers.

Yes, we believe that gender had a slight effect on our data because overall the males did slightly better than the females in this sample. However, this was a relatively small sample so with a larger sample size we would have gotten more accurate results.

Black

Blue

Brow n

Green

Grey

Hazel

Number_of_Quarters_In0 2 4 6 8 10 12

Project 1 Box Plot

Eye Color: Boxplot

Mean: 5 quarters

Count: 1 quarters

Std. Dev.: 0 quarters

Min: 5 quarter

Q1: 5 quarters

Med: 5 quarters

Q3: 5 quarters

Max: 5 quarters

IQR: 0 quarters

Mean: 4.33 quarters

Count: 12 quarters

Std. Dev.: 2.67

quarters

Min: 1 quarter

Q1: 2 quarters

Med: 4 quarters

Q3: 6 quarters

Max: 10 quarters

IQR: 4 quarters

Mean: 5.38 quarters

Count: 13 quarters

Std. Dev.: 3.12

quarters

Min: 1 quarter

Q1: 2 quarters

Med: 5 quarters

Q3: 8 quarters

Max: 11 quarters

IQR: 6 quarters

Black

BlueBrown

Mean: 5.5 quarters

Count: 2 quarters

Std. Dev.: 4.95

quarters

Min: 2 quarter

Q1: 2 quarters

Med: 5.5 quarters

Q3: 9 quarters

Max: 9 quarters

IQR: 7 quarters

Mean: 7 quarters

Count: 2 quarters

Std. Dev.: 4.24

quarters

Min: 4 quarter

Q1: 4 quarters

Med: 7 quarters

Q3: 10 quarters

Max: 10 quarters

IQR: 6 quarters

Mean: 4.25 quarters

Count: 4 quarters

Std. Dev.: 2.63

quarters

Min: 2 quarter

Q1: 2 quarters

Med: 4 quarters

Q3: 6.5 quarters

Max: 7 quarters

IQR: 4.5 quarters

Green

GreyHazel

#3.No, we believe that the categorical variable of eye color does not have a significant effect on the number of quarters tossed in the jar. The data was all fairly similar for the most part, however, our results could have been more accurate if we had a larger sample size to work with.

AN

Number_of_Quarters_In0 2 4 6 8 10 12

Project 1 Box Plot

Partner: Boxplot

Gender: Bar Graph

Male Female0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

60.00%

70.00%

Gender

61.76%

38.24%

Eye Color: Bar Graph

Black Blue Brown Green Grey Hazel0.00%

5.00%

10.00%

15.00%

20.00%

25.00%

30.00%

35.00%

40.00%

45.00%

Eye Color

Series1

2.94%

35.29%

39.24%

5.88% 5.88%

11.76%

Hair Color: Bar Graph

Black Blonde Brown Red0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

60.00%

70.00%

Hair Color

Series1

17.65%20.59%

58.82%

2.94%

Gender v. Eye ColorMale Female Total

Black 0 1 1Blue 8 4 12Brown 7 6 13Green 1 1 2Grey 2 0 2Hazel 3 1 4Total 21 13 34

Male Female TotalBlack 0.00% 2.94% 2.94%Blue 23.53% 11.76% 35.29%Brown 20.59% 17.65% 38.24%Green 2.94% 2.94% 5.88%Grey 5.88% 0.00% 5.88%Hazel 8.82% 2.94% 11.76%Total 61.76% 38.24% 100.00%

Male Female TotalBlack 0.00% 7.69% 2.94%Blue 38.10% 30.77% 35.29%Brown 33.33% 46.15% 38.24%Green 4.76% 7.69% 5.88%Grey 9.52% 0.00% 5.88%Hazel 14.29% 7.69% 11.76%Total 100.00% 100.00% 100.00%

Male Female0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Gender v Eye Color

HazelGreyGreenBrownBlueBlack

Gender v Eye Color: Stacked

Conclusion• We believe that our

results and conclusions could have been more accurate if we had a larger sample size

• While our results told us that gender plays a small role in one’s ability to toss quarters into a jar, we believe that eye color and partner do not.