First, quickly scan the data to identify the trend and variability for each student. Then, for each event, assess how likely it is based on the observed pattern, using simple probability estimates. Finally, rank the events from most to least likely, explaining your reasoning briefly.
Pro tip: Focus on the relative likelihoods rather than exact probabilities; interviewers care more about your thought process and ability to reason under time pressure than getting the 'right' answer.
Quickly examine the table: note the time period, the students, and the range of scores. Identify any obvious trends (e.g., improving, declining, stable) and variability.
Read each event carefully and determine what it implies about the data. For example, 'Student A scores above 90' or 'Student B's score decreases'.
For each event, use the historical data to estimate its likelihood. Consider the frequency of similar occurrences, trends, and variability. Use simple heuristics like 'more likely than not' or 'unlikely'.
Order the events from highest to lowest probability. Briefly explain your ranking, referencing specific data points or patterns.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.