1. Supercavitation is a propulsion technology for undersea vehicles that can greatly increase their speed. It occurs above approximately 50 meters per second when pressure drops sufficiently to allow the water to dissociate into water vapor, forming a gas bubble behind the vehicle. When the gas bubble completely encloses the vehicle, supercavitation is said to occur. Eight tests were conducted on a scale model of an undersea vehicle in a towing basin with the average observed speed x = 102.2 meters per second. Assume that speed is normally distributed with known standard
1. Supercavitation is a propulsion technology for undersea vehicles that can greatly increase their speed. It occurs above approximately 50 meters per second when pressure drops sufficiently to allow the water to dissociate into water vapor, forming a gas bubble behind the vehicle. When the gas bubble completely encloses the vehicle, supercavitation is said to occur. Eight tests were conducted on a scale model of an undersea vehicle in a towing basin with the average observed speed x = 102.2 meters per second. Assume that speed is normally distributed with known standard
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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Alpha=0.05 as stated in 1.1
Transcribed Image Text:1. Supercavitation is a propulsion technology
for undersea vehicles that can greatly increase
their speed. It occurs above approximately 50
meters per second when pressure drops
sufficiently to allow the water to dissociate into
water vapor, forming a gas bubble behind the
vehicle. When the gas bubble completely
encloses the vehicle, supercavitation is said to
occur. Eight tests were conducted on a scale
model of an undersea vehicle in a towing basin
with the average observed speed x = 102.2
meters per second. Assume that speed is
normally distributed with known standard
deviation o =4 meters per second.
1.1. Test the hypothesis H0 : µ=100 versus H1 :
u< 100 using a=0.05.
1.2. What is the P-value for the test in part 1.1.?
1.3. Compute the type II error if the true mean
speed is as low as 95 meters per second.
1.4. What sample size would be required to
detect a true mean speed as low as 95 meters
per second if you are willing to accept a type II
error of 0.15?
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