Answer:
6
Step-by-step explanation:
|-6|
Apply rule |-a| = a
|-6| = 6
The distance between -6 and 0 is 6.
Answer:
![P(\bar X](https://tex.z-dn.net/?f=%20P%28%5Cbar%20X%20%3C78%29)
And we can use the following z score:
![z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}](https://tex.z-dn.net/?f=%20z%20%3D%20%5Cfrac%7B%5Cbar%20X%20-%5Cmu%7D%7B%5Cfrac%7B%5Csigma%7D%7B%5Csqrt%7Bn%7D%7D%7D)
And replacing we got using the normal standard distribution table or excel:
![P(\bar X](https://tex.z-dn.net/?f=P%28%5Cbar%20X%20%3C78%29%3D%20P%28Z%3C%5Cfrac%7B78-76%7D%7B%5Cfrac%7B12%7D%7B%5Csqrt%7B36%7D%7D%7D%29%20%3D%20P%28Z%3C1%29%3D0.8413)
C.0.8413
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the records of a population, and for this case we know the distribution for X is given by:
Where
and
Since the distribution for X is normal then we know that the distribution for the sample mean
is given by:
We select a sample of size n=36, and we want to calculate this probability:
![P(\bar X](https://tex.z-dn.net/?f=%20P%28%5Cbar%20X%20%3C78%29)
And we can use the following z score:
![z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n}}}](https://tex.z-dn.net/?f=%20z%20%3D%20%5Cfrac%7B%5Cbar%20X%20-%5Cmu%7D%7B%5Cfrac%7B%5Csigma%7D%7B%5Csqrt%7Bn%7D%7D%7D)
And replacing we got using the normal standard distribution table or excel:
![P(\bar X](https://tex.z-dn.net/?f=P%28%5Cbar%20X%20%3C78%29%3D%20P%28Z%3C%5Cfrac%7B78-76%7D%7B%5Cfrac%7B12%7D%7B%5Csqrt%7B36%7D%7D%7D%29%20%3D%20P%28Z%3C1%29%3D0.8413)
C.0.8413