(1) The scores ou an aptitude test for finger dexterity are uonually distributed with meau 250 and
standard deviation 65.
a) What is the probability that a person selected at random will score between 240 and 270 on the
test?
b) Test is given to a random sample of seven people. What is the probability that the mean score,
I for the sample will be between 240 and 270?

Respuesta :

Using the normal distribution and the central limit theorem, it is found that there is a:

a) 0.1813 = 18.13% probability that a person selected at random will score between 240 and 270 on the test.

b) 0.4501 = 45.01% probability that the mean score for the sample will be between 240 and 270.

Normal Probability Distribution

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].

In this problem:

  • The mean is of [tex]\mu = 250[/tex].
  • The standard deviation is of [tex]\sigma = 65[/tex].

Item a:

The probability is the p-value of Z when X = 270 subtracted by the p-value of Z when X = 240, hence:

X = 270:

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

[tex]Z = \frac{270 - 250}{65}[/tex]

[tex]Z = 0.31[/tex]

[tex]Z = 0.31[/tex] has a p-value of 0.6217.

X = 240:

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

[tex]Z = \frac{240 - 250}{65}[/tex]

[tex]Z = -0.15[/tex]

[tex]Z = -0.15[/tex] has a p-value of 0.4404.

0.6217 - 0.4404 = 0.1813.

0.1813 = 18.13% probability that a person selected at random will score between 240 and 270 on the test.

Item b:

We have a sample of 7, hence:

[tex]n = 7, s = \frac{65}{\sqrt{7}} = 24.57[/tex]

X = 270:

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

By the Central Limit Theorem

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

[tex]Z = \frac{270 - 250}{24.57}[/tex]

[tex]Z = 0.81[/tex]

[tex]Z = 0.81[/tex] has a p-value of 0.7910.

X = 240:

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

[tex]Z = \frac{240 - 250}{24.57}[/tex]

[tex]Z = -0.41[/tex]

[tex]Z = -0.41[/tex] has a p-value of 0.3409.

0.7910 - 0.3409 = 0.4501.

0.4501 = 45.01% probability that the mean score for the sample will be between 240 and 270.

To learn more about the normal distribution and the central limit theorem, you can check https://brainly.com/question/24663213