Supercavitation is a propulsion technology for undersea vehicles that can greatly increase their speed. It occurs above approximately 50 meters per second, when the pressure drops off 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 (n = 8) tests were conducted on a scale model of an undersea vehicle in a towing basin with the average observed speed I = 102.2 meters per second. Assume that speed is normally distributed with σ = 4 meters per second. Use a = 0.05.

Requried:
Compute the power of this test if the true mean speed is low as 95 meters per second.

Respuesta :

Using the normal distribution and the central limit theorem, it is found the power of the test is of 0.

In a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

  • It measures how many standard deviations the measure is from the mean.  
  • After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.
  • By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation [tex]s = \frac{\sigma}{\sqrt{n}}[/tex].

The power of a test is the probability of rejecting a true null hypothesis, which in this problem is concluding that there is significant evidence that the mean speed is above 95 m/s when in fact it isn't, which is the probability of finding a sample mean above 102.2 m.

For this problem, the parameters are:

  • True mean speed of 95 m/s, hence [tex]\mu = 95[/tex]
  • Standard deviation of 4 m/s, hence [tex]\sigma = 4[/tex]
  • Sample of 8, hence [tex]n = 8, s = \frac{4}{\sqrt{8}}[/tex].

The probability is 1 subtracted by the p-value of Z when X = 102.2, then:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

By the Central Limit Theorem

[tex]Z = \frac{X - \mu}{s}[/tex]

[tex]Z = \frac{102.2 - 95}{\frac{4}{\sqrt{8}}}[/tex]

[tex]Z = 5.1[/tex]

[tex]Z = 5.1[/tex] has a p-value of 1.

1 - 1 = 0

The power of the test is of 0.

A similar problem is given at https://brainly.com/question/24663213