our project dealt with seeing how many quarters a student could toss into a jar within one minute....
TRANSCRIPT
“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_In
0 2 4 6 8 10 12 14
Project 1 Histogram
Number_of_Quarters_In
0 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_In
0 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_In
0 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
Blue
Brown
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
Grey
Hazel
#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_In
0 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.