Abby Cummings and Tori DeCesare. Sample of 32 students Measured how many jumping jacks students...

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