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Someone once dropped a 'mint imperial, a type of sweet, from the top of a multi-story car park and it landed on my grandmother's head. The average speed of a falling mint imperial is 4 m/s and the velocity is a Gaussian distribution with standard deviation 0.25 m/s. If a mint travelling faster than 5 m/s causes injury, what is the chance my grandmother was injured? in fact she was fine, but very annoyed. Oi- ef (2/2)/2 O1- erf (v2)/2 O[1- ef (2) O[1- ef (4)/2

Someone once dropped a 'mint imperial, a type of sweet, from the top of a multi-story car park and it landed on my grandmother's head. The average speed of a falling mint imperial is 4 m/s and the velocity is a Gaussian distribution with standard deviation 0.25 m/s. If a mint travelling faster than 5 m/s causes injury, what is the chance my grandmother was injured? in fact she was fine, but very annoyed. Oi- ef (2/2)/2 O1- erf (v2)/2 O[1- ef (2) O[1- ef (4)/2

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Someone once dropped a 'mint imperial", a type of sweet, from the top of a multi-story car park and it landed on my grandmother's head. The average speed of a falling mint imperial is 4 m/s and the velocity is a Gaussian distribution with standard deviation 0.25 m/s. If a mint travelling faster than 5 m/s causes injury, what is the chance my grandmother was injured? In fact she was fine, but very annoyed. O(i- erf (2/2)/2 O [1- erf (v2)/2 O [1- erf (2) O [1- erf (4)/2
Transcribed Image Text:Someone once dropped a 'mint imperial", a type of sweet, from the top of a multi-story car park and it landed on my grandmother's head. The average speed of a falling mint imperial is 4 m/s and the velocity is a Gaussian distribution with standard deviation 0.25 m/s. If a mint travelling faster than 5 m/s causes injury, what is the chance my grandmother was injured? In fact she was fine, but very annoyed. O(i- erf (2/2)/2 O [1- erf (v2)/2 O [1- erf (2) O [1- erf (4)/2
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