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## Probability and Statistics for Engineers

by: Jordane Kemmer

14

0

3

# Probability and Statistics for Engineers ST 370

Marketplace > North Carolina State University > Statistics > ST 370 > Probability and Statistics for Engineers
Jordane Kemmer
NCS
GPA 3.79

A. McLain

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COURSE
PROF.
A. McLain
TYPE
Class Notes
PAGES
3
WORDS
KARMA
25 ?

## Popular in Statistics

This 3 page Class Notes was uploaded by Jordane Kemmer on Thursday October 15, 2015. The Class Notes belongs to ST 370 at North Carolina State University taught by A. McLain in Fall. Since its upload, it has received 14 views. For similar materials see /class/223950/st-370-north-carolina-state-university in Statistics at North Carolina State University.

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Date Created: 10/15/15
chm m Yamnamlm due 7 maxed Swhce Nu m In The Durvnse mm axvenmantwastn mmmme mm surfats aria m 2 has myths tested am an and mstme water mm lmevmmn mnh 1 Change ITelupeIaulre Vs Type oleeI hm 1Anava hm Dinah iSAbstract We conducted an experiment to determine the height at which an egg will break when dropped We used different methods of casing or shellingforthe eggwhile using different cushion materials to protect the egg Overall we wanted to determine how different packaging and casing affect the height from which the egg could be dropped without breaking Height of Breakage verses Cushioning Type for Different Containers 350 000 300 000 A250 000 3 o E 200 000 o a Q 2DDZ a E r2150 000 B E 9 100 000 50 000 0 000 No Cushioning Styrofoam Pellets Bubble Wrap cotton Balls TVDe of cushioninq Source 55 df MS F P Rows Type of Cushioning 17501146 3 5833715 83 00015 Columns Type of Casing 292604 1 292604 042 05261 r X C 144448 3 481493 068 0577 Error 11248333 16 703021 Total 30486563 23 1 Does there appear to be interaction based on the interaction plot above Is the interaction statistically significant State why or why not 2 The factors in this experiment are type of cushioning and type of casing Are the effects of either of these factors statistically significant at level a 005 State why or why not 3 Is an additive model appropriate for this experiment If so form an ANOVA table associated with the additive model

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