Free ATI TEAS 7 Science guide
October 2026 - Scientific Reasoning Study Guide for nursing students in
This covers experimental design, variables, controls, hypotheses and the evaluation of evidence. A valid experiment changes one variable at a time and holds everything else constant — and the control group is what makes any of it interpretable.
The scientific method
Not a rigid recipe, but the exam tests the order and the vocabulary.
- Observe
- Question
- Hypothesis
- Experiment
- Analyse
- Conclude
- Report
The three kinds of variable
Every experimental design question comes down to sorting these correctly.
- Independent — the one thing the researcher deliberately changes.
- Dependent — what is measured in response to that change.
- Controlled — everything deliberately held constant so it cannot explain the result. Temperature, timing, the equipment used, who does the measuring.
- Only one independent variable at a time. Change two and no result can be attributed to either.
Why a control group is not optional
The control group receives no treatment, or a placebo, and everything else about it matches the experimental group. It exists to answer a question the treated group cannot: what would have happened anyway?
Without it, an improvement means nothing. Patients recover on their own, symptoms fluctuate, and people who know they have been treated report feeling better. A control group is the only way to separate the effect of the treatment from all of that — and questions often hinge on spotting that a described study has no control at all.
Hypothesis, theory and law
These are not stages of certainty in the way everyday speech suggests. They are different kinds of statement.
| What it is | Example | |
|---|---|---|
| Hypothesis | A testable, falsifiable prediction | Handwashing with soap reduces bacterial counts more than water alone |
| Theory | A well-supported explanation of why something happens, tested repeatedly | Germ theory of disease |
| Law | A description of what reliably happens, often mathematical, without explaining why | The law of conservation of mass |
A theory does not get promoted to a law with enough evidence. A law says what happens; a theory says why. They answer different questions, and no amount of confirmation turns one into the other.
Reliability and validity
Both words appear in answer choices and they mean different things.
| Asks | A failure looks like | |
|---|---|---|
| Reliability | Would repeating this give the same result? | Two nurses measuring the same patient and getting different figures |
| Validity | Is this measuring what it claims to measure? | A consistently accurate scale used to assess nutrition |
What weakens a study
These are what "which of the following is a limitation" questions are pointing at.
- No control group — nothing to compare the outcome against.
- A small sample — results may be chance, and cannot be generalised.
- Confounding variables — something else changed at the same time.
- Bias in selection — the groups differed before the study began.
- No blinding — expectation shapes what participants report and what researchers record.
- Correlation read as cause — the most common error of all.
Evaluating a described study
Worked example
A clinic offers a new supplement to patients who ask for it. After three months, those taking it report better sleep than those who did not. The clinic concludes the supplement improves sleep. What is wrong?
- Identify the groups: those who asked for the supplement, and those who did not.
- Ask whether the groups were comparable to begin with. They were not — one group self-selected.
- Ask what else could explain the difference: people who seek out a sleep supplement may also be changing other habits, and they know they are being treated.
- Ask whether there was a control: no untreated comparison group was assigned.
The groups were self-selected rather than assigned, so they differed before the study started; there was no control group and no blinding. The conclusion treats a correlation between choosing the supplement and reporting better sleep as if it were causation.
Reading data and measurement
- Qualitative data describes; quantitative data counts or measures.
- Accuracy is closeness to the true value; precision is consistency between repeated measurements. A measurement can be precise and wrong.
- Always check the units and the scale before comparing figures.
- A conclusion may not extend beyond the population that was studied.
Terms to know
- Hypothesis
- A testable, falsifiable prediction.
- Theory
- A well-supported explanation of why something happens.
- Scientific law
- A reliable description of what happens, without explaining why.
- Independent variable
- The one factor deliberately changed.
- Dependent variable
- What is measured in response.
- Controlled variable
- A factor held constant so it cannot affect the result.
- Control group
- An untreated or placebo group used for comparison.
- Placebo
- An inactive treatment given so the comparison group has the same experience.
- Confounding variable
- An uncontrolled factor that could explain the result.
- Reliability
- Consistency of a measurement on repetition.
- Validity
- Whether a measurement captures what it claims to.
- Peer review
- Evaluation by other specialists before publication.
What the TEAS asks most
The same core ideas appear in different wording. If you can answer these without stopping to think, you have what this section requires.
Which is the independent variable?
The one the researcher deliberately changed.
Why is a control group necessary?
To show what would have happened without the treatment. Without it, no change can be attributed to anything.
Which of these is a valid hypothesis?
One that is specific, testable and could be shown false.
What is the main limitation of this study?
Usually a missing control, a small or self-selected sample, or a confounding variable.
What is the difference between a theory and a law?
A law describes what happens; a theory explains why. Neither becomes the other.
Key points
- Change one variable at a time and hold the rest constant.
- Independent is changed, dependent is measured, controlled is held steady.
- A control group is what makes a result interpretable.
- A hypothesis must be testable and falsifiable.
- A law describes; a theory explains. Reliability is consistency, validity is measuring the right thing.
Review quiz
5 questions on this topic, each with the reasoning worked through. Pick an answer to see how it went, or open the explanation straight away.
-
Question 1 of 5
A researcher tests whether a hand cream reduces skin dryness. One group uses the cream, another uses an identical cream without the active ingredient. What is the second group called?
Show the answer and explanation
Correct answer: B. The control group
A group receiving an inactive version exists purely for comparison, which makes it the control — and using an identical-looking cream keeps the experience the same. The experimental group receives the active treatment, while a variable is a factor rather than a group of participants.
-
Question 2 of 5
Which of the following is a properly formed hypothesis?
Show the answer and explanation
Correct answer: B. Washing hands with soap for 20 seconds reduces bacterial counts more than rinsing with water alone.
It names a specific comparison and a measurable outcome, so a result could show it false — which is what makes a hypothesis testable. The first is an untestable value statement, the third is the research question rather than a prediction, and the fourth is a recommendation.
-
Question 3 of 5
A study finds that patients who eat breakfast have fewer falls. The authors conclude that eating breakfast prevents falls. What is the flaw?
Show the answer and explanation
Correct answer: B. It treats a correlation as though it established causation.
Patients well enough to eat breakfast may simply be less frail, which would produce the same association without breakfast causing anything. A large sample is a strength rather than a flaw, falls are routinely recorded, and breakfast is a perfectly workable variable.
-
Question 4 of 5
A set of scales gives a reading of 71.2 kg every time the same patient is weighed, but the patient actually weighs 68.0 kg. How should the scales be described?
Show the answer and explanation
Correct answer: B. Precise but not accurate
Repeating the measurement gives the same figure each time, which is precision, but that figure is more than three kilograms from the truth, so accuracy fails. This is exactly why consistency alone is not evidence that an instrument is right.
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Question 5 of 5
What is the difference between a scientific theory and a scientific law?
Show the answer and explanation
Correct answer: B. A law describes what happens; a theory explains why it happens.
The two answer different questions and neither is a stage on the way to the other. A theory is not a guess — that is a hypothesis — and both terms are used across every scientific discipline.
Put this TEAS topic into practice
Build a set on scientific reasoning and use the rationale on every question to reinforce what you just reviewed.
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