A determines how far a particular value is from the mean relative to the data set's standard deviation. a. percentile b. coefficient of variation c. z-score d. variance

z-score

Step-by-step explanation:

Z-score gives the relative value of any data population in relation to its mean. It depicts at what distance any data is from the mean. In technical terms it can be termed as the number of times a data is data away from the mean. Positive value of z score means value is more than mean while a negative value signifies data is less than that of mean.

Z – score is primarily used in qualitative analysis of numerical data by the statistician after data is arranged in normal distribution form. Z score of 0 means the value is same as mean while z-score of value 1 means data is one standard deviation away from the mean.

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step-by-step explanation:

x/3-10=8

x/3=18

x=48