From a question to a written design
Before you bake a cake you read the recipe. An experiment plan is the recipe: what you will change, what you will measure, what you will keep the same, and what you will do, step by step, so anyone could repeat it.
Before this course: The Scientific Method & Science Fair Projects (course 15.9). You already know the steps of the scientific method and the three kinds of variables. Here we go one step deeper: design controlled experiments that stand up to a judge's questions.
- A good design starts with a testable question ("Does ___ affect ___?") and a hypothesis with "If... then... because..." (course 15.9, lesson 2).
- Name your independent variable (what you change), dependent variable (what you measure) and controlled variables (what you keep the same).
- A confounding variable is something else that changes along with your independent variable and could explain your result. Example: you test light on bean plants but the plant in the sunny window is also warmer. Light and warmth are mixed up, so you cannot tell which one caused the change.
- An operational definition says exactly how you will measure something. "Grows well" is vague. "Height in centimetres from soil to the highest leaf tip after 10 days" is operational.
- Choose levels of the independent variable: at least three levels (for example 10 °C, 20 °C and 40 °C) let you see a pattern, while two only show a difference.
- A written plan lists: question, hypothesis, variables, materials, numbered procedure, how data will be recorded, safety notes and how many trials.
- Write your testable question using Does ___ affect ___?
- Write your hypothesis with If... then... because...
- Write your independent variable and choose three levels of it.
- Write your dependent variable and an operational definition: exactly how, with which tool and in which units, you will measure it.
- List every controlled variable you can think of, at least five.
- Circle any variable that could change together with your independent variable. Those are possible confounding variables. Decide how to stop them.
- Check: someone else could read your plan and tell exactly what you change, what you measure with which tool, and what stays the same.
Videos by other creators on YouTube, for reference. They are not made by or affiliated with The Future Market.
Read the video script
[Host] "In course 15.9 you learned the three variables. Now we write a design anyone could repeat."
[Text on screen: Grows well vs height in cm after 10 days] "Vague words are not measurements. Say exactly how you measure."
[Screen: two plants, one in a sunny window and one in a dark corner, with a thermometer] "Watch out for hidden changes. The sunny plant is also warmer. That is a confounding variable."
[Host] "Write it all down, so someone else could run your experiment."
Take your best testable question. Write the independent variable with three levels, the dependent variable with an operational definition, five controlled variables, and one possible confounding variable with a plan to stop it.
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I'm learning "Experiment Design: variables and controls" on The Future Market. Lesson 1: "From a question to a written design".
What the lesson teaches:
- A good design starts with a testable question ("Does ___ affect ___?") and a hypothesis with "If... then... because..." (course 15.9, lesson 2).
- Name your independent variable (what you change), dependent variable (what you measure) and controlled variables (what you keep the same).
- A confounding variable is something else that changes along with your independent variable and could explain your result. Example: you test light on bean plants but the plant in the sunny window is also warmer. Light and warmth are mixed up, so you cannot tell which one caused the change.
- An operational definition says exactly how you will measure something. "Grows well" is vague. "Height in centimetres from soil to the highest leaf tip after 10 days" is operational.
- Choose levels of the independent variable: at least three levels (for example 10 °C, 20 °C and 40 °C) let you see a pattern, while two only show a difference.
- A written plan lists: question, hypothesis, variables, materials, numbered procedure, how data will be recorded, safety notes and how many trials.
The exercise I'm working on:
Take your best testable question. Write the independent variable with three levels, the dependent variable with an operational definition, five controlled variables, and one possible confounding variable with a plan to stop it. ---
I'm stuck. Please:
1. Explain the main idea in plain, simple words with one everyday example.
2. Walk me through the exercise one small step at a time. Ask me what I've done so far before giving the next step.
3. Don't just give me the final answer. Help me do it myself, and check my work when I share it.I'm a parent helping my child (about 8 years old) with a lesson called "From a question to a written design" from the course "Experiment Design: variables and controls". Here's what the lesson says: Before you bake a cake you read the recipe. An experiment plan is the recipe: what you will change, what you will measure, what you will keep the same, and what you will do, step by step, so anyone could repeat it. Before this course: The Scientific Method & Science Fair Projects (course 15.9). You already know the steps of the scientific method and the three kinds of variables. Here we go one step deeper: design controlled experiments that stand up to a judge's questions. The activity: Take your best testable question. Write the independent variable with three levels, the dependent variable with an operational definition, five controlled variables, and one possible confounding variable with a plan to stop it. --- Please explain this so an 8-year-old understands: short sentences, a fun everyday example, and no hard words. Then give me 3 simple questions I can ask my child to check they understood, and a way to do the activity together, one tiny step at a time.
Control groups and baselines
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Fair comparisons: trials, sample size, random order and blinding
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Measuring well: tools, units, precision and error
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Plan your data and your analysis before you start
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Safe and ethical design (with Canadian examples)
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Write and review your experiment plan
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Final project
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Quiz
What is a confounding variable?
Another variable that changes along with your independent variable and could explain the result.
What is an operational definition?
A precise statement of how you will measure something, with tool and units.
What is the difference between a control group and controlled variables?
The control group is the comparison; controlled variables are the things you keep the same.
What is a negative control?
A group that gets no treatment, to show what happens when nothing is changed.
Why run trials in a mixed order?
So a changing room or a tired timer does not affect only one group.
What is blinding?
Hiding which group is which from the person measuring or judging, for example with coded labels.
What is systematic error?
A mistake that pushes all results the same way, such as a scale that reads too high; repeating does not fix it.
What is a pilot test?
A small trial run of the whole plan before the real test, to find and fix problems.
What is the mean of 62, 58 and 60 seconds, and what is the range?
Mean 60 seconds; range 4 seconds.
What should you do with an odd result?
Do not delete it. Report it, explain it, or repeat the trial and report both.
When must you get ethics approval if you plan to enter a fair?
Before you begin any experimenting.
What should you do if you are not sure whether something is safe or allowed?
Stop and ask an adult, your teacher or your fair coordinator before you start.
Final exam
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Certificate
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