Final answer:
The question involves z-scores, a statistical measure describing how a single data point relates to the mean of a data set. Values above the mean have positive z-scores, while those below the mean have negative z-scores. Z-scores also help in calculating the probability of a data point occurring within a normal distribution.
Step-by-step explanation:
The concept described in the question pertains to the calculation and interpretation of z-scores in statistics. A 'z-score' is a numerical measurement that describes a value's relationship to the mean of a group of values, measured in terms of standard deviations. If a score is above the mean, the z-score is positive, and if it is below the mean, the z-score is negative.
When we say that the measure of ZB is 5x + 4, it can refer to finding the value of a variable in a statistical context related to z-scores. However, to give a precise explanation or calculation, we would need more information about ZB and the context in which it is used. But drawing from the examples given, we can explain that for instance, if y = 4 and this is equivalent to a z-score of 2, it means that y is two standard deviations above the mean. Conversely, if z = -4, it indicates that the value in question is four standard deviations below the mean.
Understanding z-scores is important for various applications in statistics such as determining how far a data point is from the mean, calculating probabilities, and for hypothesis testing. It is commonly taught in high school statistics courses.