Choose the correct formula for computing a standard score below. The standard score for a particular data value is given by A. \( z=\frac{\text { data value - mean }}{\text { standard deviation }} \). The standard score for a particular data value is given by B. \( z=\frac{\text { data value }}{\text { standard deviation }} \). The standard score for a particular data value is given by C. \( z=\frac{\text { standard deviation }}{\text { mean - data value }} \). The standard score for a particular data value is given by D. \( z=\frac{\text { standard deviation }}{\text { data value }} \).

If you're searching for the right formula for computing a standard score, you're in the right place! The correct formula is A: \( z=\frac{\text { data value - mean }}{\text { standard deviation }} \). This nifty little equation helps you understand how far away a particular data point is from the average, measured in standard deviations. In the grand scheme of things, standard scores (or z-scores) are super useful. They play a huge role in statistics, helping you to standardize different data distributions for comparisons. Imagine you're comparing test scores from two exams with different average scores and standard deviations. The z-score helps you to see which scores are relatively high or low across those different scales, making it a powerful tool for data analysis!