casionally stop at gas stations that have "free air" and make sure the pressure in my tires is correct. My tires are supposed to e 35 pounds of pressure per square inch. When I connect the hose to my valve the device reads the pressure that is currently e tire and adds air, if needed, to bring the tire to the pressure that I request. It is important that the pump gauge works erly and does not put in too much or too little air. inspector checks the air pump twice a year to make sure it is working properly. She connects the air pump to a device that is o output 35 pounds of pressure and records what the pump gauge displays as the pressure. She repeats this process 10 times. raph of the data is roughly symmetric with no outliers. The 99% confidence interval for the true mean pressure detected is to 34.8 pounds per square inch. He needs to determine if the pump needs to be repaired. What conclusion would you make for a test at the a = 0.01 significance level of Ho: μ = 35 versus H₁ μ‡ 35, where μ the true mean pressure detected by the pump? Because the null value of 35 is captured by the 99% confidence interval, we would fail to reject Ho: μ = 35 at the α = 0.01 significance level. Because the null value of 35 is captured by the 99% confidence interval, we would reject Ho: μ = 35 at the a = 0.01 significance level. Because the null value of 35 is not captured by the 99% confidence interval, we would reject Ho: μ = 35 at the α = 0.01 significance level. We do not have enough information to draw a conclusion about a hypothesis test because we do not know the P-value of the test. O Because the null value of 35 is not captured by the 99% confidence interval, we would fail to reject H₁ : μ = 35 at the α = 0.01 significance level.
casionally stop at gas stations that have "free air" and make sure the pressure in my tires is correct. My tires are supposed to e 35 pounds of pressure per square inch. When I connect the hose to my valve the device reads the pressure that is currently e tire and adds air, if needed, to bring the tire to the pressure that I request. It is important that the pump gauge works erly and does not put in too much or too little air. inspector checks the air pump twice a year to make sure it is working properly. She connects the air pump to a device that is o output 35 pounds of pressure and records what the pump gauge displays as the pressure. She repeats this process 10 times. raph of the data is roughly symmetric with no outliers. The 99% confidence interval for the true mean pressure detected is to 34.8 pounds per square inch. He needs to determine if the pump needs to be repaired. What conclusion would you make for a test at the a = 0.01 significance level of Ho: μ = 35 versus H₁ μ‡ 35, where μ the true mean pressure detected by the pump? Because the null value of 35 is captured by the 99% confidence interval, we would fail to reject Ho: μ = 35 at the α = 0.01 significance level. Because the null value of 35 is captured by the 99% confidence interval, we would reject Ho: μ = 35 at the a = 0.01 significance level. Because the null value of 35 is not captured by the 99% confidence interval, we would reject Ho: μ = 35 at the α = 0.01 significance level. We do not have enough information to draw a conclusion about a hypothesis test because we do not know the P-value of the test. O Because the null value of 35 is not captured by the 99% confidence interval, we would fail to reject H₁ : μ = 35 at the α = 0.01 significance level.
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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Transcribed Image Text:I occasionally stop at gas stations that have “free air” and make sure the pressure in my tires is correct. My tires are supposed to
have 35 pounds of pressure per square inch. When I connect the hose to my valve the device reads the pressure that is currently
in the tire and adds air, if needed, to bring the tire to the pressure that I request. It is important that the
pump gauge works
properly and does not put in too much or too little air.
An inspector checks the air pump twice a year to make sure it is working properly. She connects the air pump to a device that is
set to output 35 pounds of pressure and records what the pump gauge displays as the pressure. She repeats this
process 10 times.
A graph of the data is roughly symmetric with no outliers. The 99% confidence interval for the true mean pressure detected is
33.5 to 34.8 pounds per square inch. He needs to determine if the pump needs to be repaired.
What conclusion would you make for a test at the a = 0.01 significance level of Ho: μ = 35 versus Ha μ ‡ 35, where μ
is the true mean pressure detected by the pump?
Because the null value of 35 is captured by the 99% confidence interval, we would fail to reject Ho : μ
a = 0.01 significance level.
= 35 at the
Because the null value of 35 is captured by the 99% confidence interval, we would reject Ho : μ = 35 at the a = 0.01
significance level.
Because the null value of 35 is not captured by the 99% confidence interval, we would reject Ho : μ = 35 at the
α= 0.01 significance level.
We do not have enough information to draw a conclusion about a hypothesis test because we do not know the P-value
of the test.
O Because the null value of 35 is not captured by the 99% confidence interval, we would fail to reject Ho : μ
α = 0.01 significance level.
= 35 at the
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