Answer:
0. 542
Step-by-step explanation:
Using the normal distribution, the probabilities are given as follows:
a. 0.4602 = 46.02%.
b. 0.281 = 28.1%.
<h3>Normal Probability Distribution</h3>
The z-score of a measure X of a normally distributed variable with mean
and standard deviation
is given by:
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
- The z-score measures how many standard deviations the measure is above or below the mean.
- Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
- By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation
.
The parameters are given as follows:
![\mu = 959, \sigma = 263, n = 37, s = \frac{263}{\sqrt{37}} = 43.24](https://tex.z-dn.net/?f=%5Cmu%20%3D%20959%2C%20%5Csigma%20%3D%20263%2C%20n%20%3D%2037%2C%20s%20%3D%20%5Cfrac%7B263%7D%7B%5Csqrt%7B37%7D%7D%20%3D%2043.24)
Item a:
The probability is <u>one subtracted by the p-value of Z when X = 984</u>, hence:
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![Z = \frac{984 - 959}{263}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B984%20-%20959%7D%7B263%7D)
Z = 0.1
Z = 0.1 has a p-value of 0.5398.
1 - 0.5398 = 0.4602.
Item b:
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
By the Central Limit Theorem:
![Z = \frac{X - \mu}{s}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7Bs%7D)
![Z = \frac{984 - 959}{43.24}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B984%20-%20959%7D%7B43.24%7D)
Z = 0.58
Z = 0.58 has a p-value of 0.7190.
1 - 0.719 = 0.281.
More can be learned about the normal distribution at brainly.com/question/4079902
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Answer:
13909416897778.08 cm
Step-by-step explanation:
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