Answer:Option A is correct.0.7734.Step-by-step explanation:Definition: z-score indicates that how many standard deviations an element is from the mean. It can be calculated from the following formula.[tex]z = \frac{X-\mu}{\sigma}[/tex]where; z is the z-score, X is the value of the element, [tex]\mu[/tex] is the mean, and σ is the standard deviation.To interprets z- score:if a z-score < 0, it represents an element less than the mean.
if a z-score > 0, it represents an element greater than the mean.
if z-score = 0, it represents an element equal to the mean.
Given: z < 0.755then, to find the value of z, look up the standardize normal distribution to the left of a z-score.we getz = 0.7734