Based on the calendar, is it necessary to perform more than one experiment at a time to meet all due dates?

Based on the calendar, is it necessary to perform more than one experiment at a time to meet all due dates?

• A. Yes, you must perform more than one experiment at a time.
• B. No, you can complete all experiments by the due date while doing one at a time.
• C. Only if Apgar plates are included will you be able to finish on time.
• D. The calendar information is insufficient to determine this.

Answer: (B)

Planning your work around the available time window is the key idea. If the total time needed to complete all experiments—including setup, running, and cleanup—fits within the days before the last due date, you can finish them sequentially without doing multiple at once. In this case, the calendar shows enough slack to schedule one experiment after another and still meet every deadline, so there’s no need to run more than one concurrently. The important check is adding up how long each experiment will take and comparing that to the span from today to the final due date; if the sum is within that span, sequential work suffices. If the calendar did not provide enough time, or if some tasks required simultaneous attention (for example, a step that must run overnight while you start another), then parallel work might be necessary. But here, the timing supports completing everything one by one.

Planning your work around the available time window is the key idea. If the total time needed to complete all experiments—including setup, running, and cleanup—fits within the days before the last due date, you can finish them sequentially without doing multiple at once.

In this case, the calendar shows enough slack to schedule one experiment after another and still meet every deadline, so there’s no need to run more than one concurrently. The important check is adding up how long each experiment will take and comparing that to the span from today to the final due date; if the sum is within that span, sequential work suffices.

If the calendar did not provide enough time, or if some tasks required simultaneous attention (for example, a step that must run overnight while you start another), then parallel work might be necessary. But here, the timing supports completing everything one by one.