One practice test is not enough to make a decision.
Data is valuable in education; but how we interpret data is even more important. That’s why we track a student’s performance over time. Are the distributions of right, wrong, and blank answers changing? While one subject improves, does another decline? Does the same topic cause problems in different tests? Is a study area truly reflected in performance? Is time management improving? What is the relationship between the student’s study efforts and the test results? Instead of over-interpreting a single result, we look for patterns. Here, statistics are not used to rate the student, but to reduce the risk of making the wrong academic decision.