Answer:
![P(x\:](https://tex.z-dn.net/?f=P%28x%5C%3A%3C%5C%3A50%29%3D0.0918)
Step-by-step explanation:
To find the probability that a randomly selected test taker scored below 50, we need to first of all determine the z-score of 50.
The z-score for a normal distribution is given by:
.
From the question, the mean score is
, the standard deviation is,
, and the test score is
.
We substitute these values into the formula to get:
.
.
We now read the area that corresponds to a z-score of -1.33 from the standard normal distribution table.
From the table, a z-score of -1.33 corresponds to and area of 0.09176.
Therefore the probability that a randomly selected test taker scored below 50 is ![P(x\:](https://tex.z-dn.net/?f=P%28x%5C%3A%3C%5C%3A50%29%3D0.0918)