Answer:
Option A - 0.9938
Step-by-step explanation:
Given : Assume that blood pressure readings are normally distributed with a mean of 118 and a standard deviation of 6.4. If 64 people are randomly selected.
To find : The probability that their mean blood pressure will be less than 120?
Solution :
The formula to find the probability is
![P(Z=X)=\frac{X-\mu}{\frac{\sigma}{\sqrt{n}}}](https://tex.z-dn.net/?f=P%28Z%3DX%29%3D%5Cfrac%7BX-%5Cmu%7D%7B%5Cfrac%7B%5Csigma%7D%7B%5Csqrt%7Bn%7D%7D%7D)
Where, X is the sample mean
is the population mean
is the standard deviation
n=64 is the number of sample
The probability that their mean blood pressure will be less than 120 is given by,
![P(Z](https://tex.z-dn.net/?f=P%28Z%3C120%29%3D%5Cfrac%7B120-118%7D%7B%5Cfrac%7B6.4%7D%7B%5Csqrt%7B64%7D%7D%7D)
![P(Z](https://tex.z-dn.net/?f=P%28Z%3C120%29%3D%5Cfrac%7B2%7D%7B%5Cfrac%7B6.4%7D%7B8%7D%7D)
![P(Z](https://tex.z-dn.net/?f=P%28Z%3C120%29%3D%5Cfrac%7B2%7D%7B0.8%7D)
![P(Z](https://tex.z-dn.net/?f=P%28Z%3C120%29%3D2.5)
From the z-table the value of z at 2.5 is
![P(Z](https://tex.z-dn.net/?f=P%28Z%3C120%29%3D0.9938)
Therefore, Option A is correct.
The probability that their mean blood pressure will be less than 120 is 0.9938.