Answer:

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".
Let X the random variable that represent the Shear strength of a population, and for this case we know the distribution for X is given by:
Where
and 
And let
represent the sample mean, the distribution for the sample mean is given by:

On this case 
We are interested on this probability

And the best way to solve this problem is using the normal standard distribution and the z score given by:

If we apply this formula to our probability we got this:


And we can find this probability on this way:

And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.

Correct question is attached
Answer:
![\left[\begin{array}{ccc}x - 50\end{array}\right] \leq \frac{7}{32}](https://tex.z-dn.net/?f=%5Cleft%5B%5Cbegin%7Barray%7D%7Bccc%7Dx%20-%2050%5Cend%7Barray%7D%5Cright%5D%20%5Cleq%20%5Cfrac%7B7%7D%7B32%7D)

Step-by-step explanation:
Given.
The ideal width of a certain conveyor belt for a manufacturing plant is 50 in.
Conveyor belts can vary from the ideal width by at most 7/22 in.
Therefore, the absolute change in the width has to be less than or equal to 7/32 in.
If it will decrease than the the acceptable width for the conveyor belt is represented by the expression.
![\left[\begin{array}{ccc}x - 50\end{array}\right] \leq \frac{7}{32}](https://tex.z-dn.net/?f=%5Cleft%5B%5Cbegin%7Barray%7D%7Bccc%7Dx%20-%2050%5Cend%7Barray%7D%5Cright%5D%20%5Cleq%20%5Cfrac%7B7%7D%7B32%7D)
The following equation is satisfy the given condition.



Therefore, the correct choice is
![\left[\begin{array}{ccc}x - 50\end{array}\right] \leq \frac{7}{32}](https://tex.z-dn.net/?f=%5Cleft%5B%5Cbegin%7Barray%7D%7Bccc%7Dx%20-%2050%5Cend%7Barray%7D%5Cright%5D%20%5Cleq%20%5Cfrac%7B7%7D%7B32%7D)

X ^5 / X^3 = X^2 because of the law of the indices