Design a Mini-Lab Independently

You have asked testable questions, designed fair tests, collected reliable data, and written claims backed by evidence. Now it is time to put the whole pipeline together yourself. A mini-lab is a small, self-designed experiment that fits on one page. The point of writing the plan first — before you touch any tool — is so another person could pick up your sheet, follow it, and get the same kind of result you did.

The Six Sections of a Lab Plan

1. Question — the testable thing you are checking, written as one sentence.
2. Hypothesis — your best prediction in if-then form, before you measure anything.
3. Materials — every tool, container, and substance, with sizes and amounts.
4. Procedure — numbered steps another person could follow exactly.
5. Data table — empty rows and columns ready to fill in during trials.
6. Conclusion — written after the trials, stating what the data shows.

Writing a Strong Question

A strong mini-lab question changes ONE thing and measures ONE thing. "Does the type of soil affect how tall a bean grows in 2 weeks?" is strong: type of soil is the variable you change, plant height is what you measure, 2 weeks is the time. "Are plants nice?" is not testable. If you cannot picture the data table while reading your question, the question is not specific enough yet.

Writing a Procedure Another Person Can Follow

• Number every step. Step 1, Step 2, Step 3 — no paragraphs.
• Use exact amounts: 50 mL of water, not "some water". 10 cm of string, not "a piece".
• Name the tool every time: "use the digital scale", not "weigh it".
• State the time: "leave for 24 hours", not "leave for a while".
• Say how to record the data: "write the height in cm in row 1 of the table".

Preparing the Data Table BEFORE You Start

A finished data table is built before any measurements happen. You already know the variable you change (so it becomes the column on the left), and you already know what you measure (so it becomes the columns on the right). Three trial rows is the minimum. If the table feels hard to draw, your procedure is probably not specific enough yet — go back and tighten it.

Strong Plan vs Weak Plan

• STRONG: One variable changes; everything else stays the same.
• WEAK: Several things change at once, so the cause is unclear.
• STRONG: Numbered procedure with exact amounts and named tools.
• WEAK: One paragraph saying to mix it and watch what happens.
• STRONG: Empty data table prepared before any trial begins.
• WEAK: No table at all, results scribbled on a corner of the page.
• STRONG: Three or more trials so an average can be computed.
• WEAK: One trial; no way to tell whether the result was a fluke.