Answer:
B. 55
Step-by-step explanation:
Problems of normally distributed samples can be solved using the z-score formula.
In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the zscore of a measure X is given by:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
[tex]\mu = 50, \sigma = 5[/tex]
What raw score is represented be a z-score of 1.00?
This is X when Z = 1. So:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]1 = \frac{X - 50}{5}[/tex]
[tex]X - 50 = 5[/tex]
[tex]X = 55[/tex]
So the correct answer is:
B. 55
