lesson
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If an experiment gives results completely opposite to what you predicted, did your experiment fail, or did it succeed?
In science, an unexpected result is still a valid result because data does not exist to flatter our guesses โ it exists to test them.
The Evaluation Framework
A hypothesis is a testable proposed explanation for an observation, while a prediction is the specific measurable outcome you expect if that hypothesis is correct.
When you compare your measured results against your prediction, your data will either support the hypothesis (aligns with the prediction) or refute it (contradicts the prediction).
๐A clean, modern flowchart illustrating the scientific evaluation pathway. At the top: a card labeled 'Hypothesis (Underlying Explanation)' connecting via an arrow to 'Prediction (Expected Quantitative Outcome)'. A split path goes down to 'Experimental Data'. Path A shows 'Data Matches Prediction' leading to a green highlighted card: 'Supported (Confidence in explanation increases)'. Path B shows 'Data Contradicts Prediction' leading to a coral/red highlighted card: 'Refuted (Hypothesis rejected or revised)'. Use rounded rectangles (#ffffff), border (#e6e6e6), text (#1e2945), responsive layout, clean typography.
How do you turn raw experimental measurements into a clear, exam-ready evaluation statement?
Case 1: When Data Supports a Hypothesis
Suppose a student hypothesizes that increasing reactant concentration increases reaction rate because more solute particles lead to more frequent collisions per second.
Their prediction states that doubling hydrochloric acid concentration from 0.5ย M to 1.0ย M will approximately double the rate of hydrogen gas production.
๐A visual data card showing a comparison between predicted and observed experimental results. Left panel shows 'Prediction: Gas rate will double (100% increase) from 15.0 mL/min to 30.0 mL/min'. Right panel shows 'Observed Data: Rate at 0.5 M = 14.8 mL/min; Rate at 1.0 M = 30.2 mL/min'. A mini bar chart compares the two bars side by side with a percent increase tag showing '+104% (Matches predicted 2x factor)'. A green badge at the bottom reads 'Verdict: Hypothesis Supported'.
To write a complete evaluation, state your verdict clearly and cite exact numbers: 'The data supports the hypothesis because doubling the acid concentration from 0.5ย M to 1.0ย M increased the rate from 14.8ย mL/min to 30.2ย mL/min, an increase of 104%.'
Always calculate a difference, ratio, or percentage change rather than just stating that the values increased.