Good scientific investigations start with a clear, testable question — one that can actually be answered by collecting data, like "Does the amount of sunlight affect how fast a plant grows?" rather than a vague question like "Are plants good?". A hypothesis is a reasoned prediction about the answer, based on existing knowledge, often written as an "if...then..." statement. A hypothesis isn't just a guess — it should be based on reasoning or prior evidence, and importantly, it must be testable, meaning an experiment could actually prove it right or wrong.
Example
Question: "Does the amount of sunlight affect how fast a plant grows?" Hypothesis: "If a plant receives more sunlight, then it will grow taller, because sunlight provides the energy plants need for photosynthesis."
Key terms
Testable question:
A question specific enough that it can be answered by collecting and analysing data.
Hypothesis:
A reasoned, testable prediction about the answer to a scientific question, often written as an "if...then..." statement.
Questions
1. A good scientific question should be:
Vague
Testable and specific
Impossible to answer
About opinions only
2. A hypothesis is:
A random guess
A reasoned, testable prediction
A proven fact
A type of graph
3. "Are plants good?" is a:
Good testable question
Too vague to investigate
Perfectly specific
The best possible question
4. "Does sunlight affect plant growth?" is a:
Vague, untestable question
A more testable, specific question
Impossible to research
About opinions
5. A hypothesis is often written as:
A single word
An "if...then..." statement
A drawing only
A random number
6. A hypothesis should be based on:
Nothing at all
Reasoning or prior evidence
Pure guessing with no basis
Random chance
7. For a hypothesis to be useful, it must be:
Impossible to test
Testable
Always already known to be true
Unrelated to the question
8. Which is the more testable, specific version of "Are plants good?"
Do plants exist?
Does the amount of sunlight affect how fast a plant grows?
Plants are nice.
None of these
9. Which is a properly structured hypothesis?
Plants like sunlight
If a plant receives more sunlight, then it will grow taller, because sunlight provides energy for photosynthesis
Sunlight is yellow
Plants are green
10. A hypothesis differs from a random guess because it:
Has no reasoning behind it
Is based on reasoning or existing evidence
Is always correct
Cannot be tested
11. Which question is testable?
Is science interesting?
Does adding fertiliser increase plant height over 4 weeks?
Is nature beautiful?
Are plants happy?
12. A testable question generally allows you to:
Never collect any data
Collect data to actually answer it
Only give an opinion
Avoid an experiment entirely
13. Which is NOT a good scientific hypothesis?
If temperature increases, then the reaction rate will increase, because heat adds energy to particles
Chemistry is my favourite subject
If a plant gets less water, then it will wilt, because water is needed for cell structure
If more force is applied, then the object will accelerate more, because force causes acceleration
14. Forming a hypothesis before an experiment mainly helps you:
Know exactly what to test and expect, based on reasoning
Avoid doing any experiment at all
Guarantee the result will be correct
Skip collecting data
15. A student hypothesises "If I water a plant with orange juice, then it will grow faster, because juice tastes nice." What is the main flaw?
It isn't testable
It has no scientific reasoning connecting the cause to the predicted effect
It has too much detail
It doesn't use an if-then structure
16. Why must a hypothesis be falsifiable (able to be proven wrong by evidence)?
So it can be blindly believed regardless of results
So that an experiment can actually test whether it holds up against evidence
Falsifiability is unimportant in science
So it can never be tested
17. A student wants to investigate "Does more study time improve test scores?" Which is the best hypothesis?
Studying is good
If students study more hours per week, then their test scores will increase, because more practice reinforces learning
Test scores don't matter
Some students like studying
18. Why is "Do plants like music?" a weaker scientific question than "Does exposure to music affect plant growth rate?"?
The first cannot be objectively measured or tested in the same clear way as the second
Both are equally testable
Plants cannot be studied scientifically at all
Music has nothing to do with science
19. A hypothesis is tested and found to be incorrect. What does this mean for the scientific process?
The scientist failed completely and should stop
This is a normal, valuable part of science — the result still provides useful information
It means the question was invalid
Failed hypotheses are hidden and never reported
20. Why is it useful to base a hypothesis on prior knowledge or reasoning rather than a random guess?
It gives a scientifically grounded prediction to test, making the investigation more meaningful
Random guesses are always more accurate
Prior knowledge makes experiments unnecessary
Reasoning has no role in hypotheses
Answer key (parent copy)
1. Testable and specific
2. A reasoned, testable prediction
3. Too vague to investigate
4. A more testable, specific question
5. An "if...then..." statement
6. Reasoning or prior evidence
7. Testable
8. Does the amount of sunlight affect how fast a plant grows?
9. If a plant receives more sunlight, then it will grow taller, because sunlight provides energy for photosynthesis
10. Is based on reasoning or existing evidence
11. Does adding fertiliser increase plant height over 4 weeks?
12. Collect data to actually answer it
13. Chemistry is my favourite subject
14. Know exactly what to test and expect, based on reasoning
15. It has no scientific reasoning connecting the cause to the predicted effect
16. So that an experiment can actually test whether it holds up against evidence
17. If students study more hours per week, then their test scores will increase, because more practice reinforces learning
18. The first cannot be objectively measured or tested in the same clear way as the second
19. This is a normal, valuable part of science — the result still provides useful information
20. It gives a scientifically grounded prediction to test, making the investigation more meaningful