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Jumping Jacks DataAbby Cummings and Tori DeCesare
Sample of 32 students Measured how many jumping jacks students
could do in 60 seconds Categorical variables of gender and fruits
and vegetables Quantitative variable of the number of
jumping jacks Factors that affected performance
Introduction
Graphical Display
Jumping_Jacks
50 60 70 80 90 100
Jumping Jacks Dot Plot
Jumping Jacks
Jumping_Jacks
73.75
51
65.5
72
82
92
S1 = meanS2 = minS3 = Q1S4 = medianS5 = Q3S6 = max
-Somewhat symmetric-Unimodal-Center (mean) 73.75-Range (51, 92)-Gaps at (51,61) (72,75) (85,88)
-2
-1
0
1
2
Jumping_Jacks
50 60 70 80 90
Normal Quantile = 0.102Jumping_Jacks - 7.5
Jumping Jacks Normal Quantile Plot
Data vs. Normal Model** not a
straight line, so NOT normal
a=abby t=tori
Two-Way Table Comparisona
t
Jumping_Jacks
50 60 70 80 90
Jumping Jacks Box Plot
Marginal DistributionFruits Veggies TOTAL
Males 7 1 8
Females 20 4 24
TOTAL 27 5 32
GENDER:
Male: 8/32 = 25% Female: 24/32 = 75%
FRUITS v. VEGGIES:
Fruits: 27/32 = 84.375% Veggies: 5/32 = 15.625%
Fruits Veggies TOTAL
Male 7 1 8
Female 20 4 24
TOTAL 27 5 32
Conditional Distribution
Fruits: Veggies:
Male: 7/27 = 25.93% Male: 1/5 = 20%Female: 20/27 = 74. 074% Female: 4/5 = 80%
Male: Female:
Fruits: 7/8 = 87.5% Fruit: 20/24 = 83.33%Veggies: 1/8 = 12.5% Veggies: 4/24 = 16.66%
Jumping Jacks
RowSummary
Column Summary
Gender_A
M
Gender_A
F
fruits
veggiesFruits_Veggies
20 7
4 1
24 8
27
5
32
S1 = count
People dizzy and tired from previous event We didn’t specify with/without shoes Would pause and ask who was counting
◦ Second round specified who was counting People do jumping jacks differently—how
full the jumping jack is Clothing was an issue
Biases and Problems Encountered
From a sample of 32 people we were able to conclude…
Wide range of jumping jacks can be completed in a minute
More people favor fruits over veggies
There is no association Clothing, shoes, counting, and
previous activities change results
Playing sports vs. no sports would’ve been good categorical
Conclusion