Earlier in this project your group planned a heating or cooling fair test and ran the first trial. One reading can fool us. Why do scientists run a test more than once before they trust the answer?
One ice-cube time can be a fluke (a one-off lucky or unlucky result that never shows up again), like an 8-minute melt that never happens twice. That is why we repeat.
Repeat means we run the same fair test again with everything kept the same. Evidence is what the numbers show, not what we hoped would happen.
If Trial 1 and Trial 2 disagree, what should a careful scientist do next?
Run your fair test again. Follow these steps:
Later you will only use trials that share the same measure and the same window. If today's window is different from Trial 1, your trustworthy number comes from Trial 2 and Trial 3 only.
Watch this first. Three trial times that used the same measure: 8 minutes, 12 minutes and 11 minutes. Put them in order: 8, 11, 12. The middle value is 11. That is the number we trust more than any single trial.
Now open your Results and Conclusion page. Work through this checklist:
Evaluate means decide from the evidence whether the prediction held, and what to improve. That is steps 3 and 4 on the checklist.
This is the exciting bit: every group's trustworthy number on one picture. Let's see what story the whole class tells.
We will put each group's number on the interactive activity. We only compare groups that measured the same thing in the same way. Ice-wrap groups and warm-cup groups (or different windows) go up as separate runs, announced before we type. Watch the bars grow. Which result stands out in this run? What does the chart let us see that one notebook page cannot?
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