🇵🇰 AKU MBBS Admission Test · subject
AKU MBBS Admission Test Science Reasoning Syllabus
The Science Reasoning syllabus for AKU MBBS Admission Test in full: 5 chapters and 14 topics, every one listed below, plus 50 Science Reasoning flashcards with answers.
Science Reasoning syllabus: all 5 chapters
Expand any chapter to see its topics and sub-topics.
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Data Interpretation
3 topics- Graphs and Trends
- Tables and Data Sets
- Reading Experimental Figures
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Experimental Design
3 topics- Hypotheses and Variables
- Evaluating Experimental Methods
- Drawing Valid Conclusions
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Scientific Inquiry and Inference
3 topics- Pattern Recognition in Data
- Cause and Effect Reasoning
- Predicting Outcomes
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Conflicting Viewpoints
3 topics- Comparing Competing Hypotheses
- Identifying Assumptions
- Weighing Evidence
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Applied Science Concepts
2 topics- Applying Biology Concepts to Novel Contexts
- Applying Chemistry and Physics to Scenarios
AKU MBBS Admission Test Science Reasoning flashcards — 50 questions with answers
On a line graph, what does a steeper slope of the line indicate about the relationship between the two variables?
A steeper slope means a greater rate of change — the dependent variable changes more rapidly per unit change in the independent variable.
What is the difference between a positive (direct) correlation and a negative (inverse) correlation on a graph?
In a positive correlation both variables increase together (upward slope); in a negative correlation one variable increases as the other decreases (downward slope).
On a graph, what does a plateau (flat horizontal region) of the curve represent?
It represents a region where the dependent variable stays constant despite changes in the independent variable — often indicating saturation or a limiting factor.
How do you determine the value of one variable at a given value of another using a line graph?
Locate the given value on its axis, draw a vertical/horizontal line to the curve, then read across/down to the other axis (interpolation).
What is the difference between interpolation and extrapolation when reading a graph?
Interpolation estimates values within the measured data range; extrapolation predicts values beyond the measured range and is less reliable.
In Science Reasoning, what does the point of intersection of two curves on a graph typically represent?
It represents the condition(s) at which both variables/treatments have equal values — an equilibrium or crossover point.
On a graph, how is the rate of a process at a specific instant determined from a curved line?
By calculating the slope (gradient) of the tangent drawn to the curve at that point.
When reading a data table, what should you check first before interpreting the numbers?
The column/row headings and their units, plus any footnotes — to know exactly what each value represents.
In a data table, what does a trend (consistent increase or decrease) across a row or column indicate?
A systematic relationship between the manipulated variable and the measured variable as one changes.
How do you identify the anomalous (outlier) value in a data set?
Find the value that does not fit the established pattern/trend of the surrounding data and deviates markedly from expected results.
In a data set, what does a large range or spread of repeated measurements indicate about the data?
Low precision / high random error — the measurements are not reliably reproducible.
Why are repeated measurements averaged in experimental tables?
To reduce the effect of random error and give a more reliable, representative value.
When reading an experimental figure (apparatus diagram), what should you identify to understand the setup?
What variable is being manipulated, what is measured, the control conditions, and the function of each labelled component.
On a bar chart, what is being compared, and how does it differ from a line graph?
A bar chart compares discrete categories/groups; a line graph shows continuous change in a variable, usually over a continuous independent variable.
What do error bars on a graph or chart represent?
The uncertainty or variability in a measurement (e.g. standard deviation, standard error, or range).
If error bars of two groups overlap substantially, what can you conclude about the difference between them?
The difference is likely not statistically significant — it may be due to chance/variability.
Define the independent variable in an experiment.
The variable that the experimenter deliberately changes or manipulates to test its effect.
Define the dependent variable in an experiment.
The variable that is measured and is expected to respond to changes in the independent variable.
What are controlled variables (constants) in an experiment?
All other variables kept constant so they do not affect the outcome, ensuring a fair test of the independent variable.
What is the purpose of a control group in an experiment?
To provide a baseline for comparison — it does not receive the experimental treatment, isolating the effect of the independent variable.
Show the other 30 Science Reasoning flashcards
What is a testable hypothesis?
A specific, falsifiable predictive statement about the relationship between variables that can be supported or refuted by experiment.
What is the difference between a null hypothesis and an alternative hypothesis?
The null hypothesis states there is no effect/difference; the alternative hypothesis states there is a real effect or relationship.
What makes a sample size adequate when evaluating an experimental method?
A sample large enough to reduce random error and allow results to be representative and statistically reliable.
Why is randomization used in assigning subjects to experimental groups?
To eliminate selection bias and evenly distribute confounding variables across groups.
What is a confounding variable, and why is it a problem?
An uncontrolled variable that changes with the independent variable and offers an alternative explanation for the results, undermining validity.
What does it mean for an experiment to have a 'fair test' design?
Only the independent variable changes while all other relevant variables are controlled, so any effect can be attributed to that variable.
What is the difference between accuracy and precision in measurements?
Accuracy is closeness to the true value; precision is the closeness/reproducibility of repeated measurements to each other.
What is the difference between a valid conclusion and an invalid conclusion?
A valid conclusion is supported by and stays within the limits of the data; an invalid conclusion goes beyond the evidence or ignores it.
Why does correlation not necessarily imply causation?
Two variables can change together due to coincidence, reverse causation, or a third (confounding) variable rather than one causing the other.
What three conditions strengthen a cause-and-effect claim?
The cause precedes the effect (temporal order), they are correlated, and alternative explanations/confounders are ruled out.
In pattern recognition, what is a periodic (cyclical) pattern in data?
A pattern that repeats at regular intervals, such as seasonal or oscillating data.
What does an exponential growth pattern look like in data, and what characterizes it?
A curve that rises increasingly steeply; the rate of increase is proportional to the current value (constant doubling time).
When predicting an outcome from a data trend, what assumption are you making?
That the existing relationship/pattern continues unchanged under the new conditions (the trend remains valid beyond observed data).
If an enzyme reaction rate increases with temperature then sharply drops, what outcome do you predict at very high temperature, and why?
The rate approaches zero because the enzyme denatures (loses its active-site shape) above its optimum temperature.
When comparing two competing hypotheses, which one should be preferred when both fit the data equally?
The simpler one that requires fewer assumptions (parsimony / Occam's razor), provided it explains all the evidence.
What kind of evidence is needed to favour one competing hypothesis over another?
A result that one hypothesis predicts but the other does not — a discriminating/critical test that distinguishes between them.
What is an assumption in the context of an experiment or argument?
An unstated premise taken to be true that is necessary for the conclusion to hold.
How can you identify a hidden assumption in a scientific argument?
Find the unstated condition that must be true for the evidence to actually support the conclusion; negating it would break the argument.
When weighing evidence, what makes one piece of evidence stronger than another?
Larger, controlled, replicated, unbiased, and directly relevant studies provide stronger evidence than small, uncontrolled, anecdotal ones.
What is the value of independent replication of an experiment?
Reproducible results by different researchers increase confidence that findings are real and not due to error, bias, or chance.
In Science Reasoning, what does a result 'consistent with' a hypothesis mean versus 'proving' it?
'Consistent with' means the data do not contradict the hypothesis; science supports but cannot absolutely prove hypotheses, only fail to refute them.
Applying biology: in a novel organism, if a substance blocks ATP production, what general outcome is predicted for energy-requiring processes?
Active processes (e.g. active transport, muscle contraction, synthesis) slow or stop because they depend on ATP as the energy source.
Applying biology: if a mutation disables a tumour-suppressor gene, what outcome is predicted for cell division?
Cell division becomes uncontrolled, increasing the risk of tumour formation.
Applying biology: in a novel context, how would you predict the effect of removing all decomposers from an ecosystem?
Nutrients become locked in dead matter, nutrient recycling stops, and producers eventually suffer from nutrient depletion.
Applying biology: predict the effect on diffusion rate if the surface area of an exchange surface is increased.
Diffusion rate increases, because rate of diffusion is proportional to surface area (Fick's principle).
Applying chemistry: by Le Chatelier's principle, what happens to an exothermic equilibrium when temperature is increased?
The equilibrium shifts toward the reactants (backward), reducing product yield.
Applying chemistry: predict the effect on reaction rate of increasing reactant concentration, using collision theory.
Reaction rate increases because more frequent collisions between reactant particles occur per unit time.
Applying chemistry: how does a catalyst change the rate and the activation energy of a reaction?
It increases the rate by providing an alternative pathway with lower activation energy, without being consumed.
Applying physics: using v = d/t, predict how travel time changes if speed doubles over the same distance.
Travel time halves, since time is inversely proportional to speed for a fixed distance.
Applying physics: using Ohm's law (V = IR), predict the effect on current if voltage is constant and resistance is doubled.
Current halves, because current is inversely proportional to resistance at constant voltage.
AKU MBBS Admission Test Science Reasoning FAQ
What is in the AKU MBBS Admission Test Science Reasoning syllabus?
AKU MBBS Admission Test Science Reasoning is split into 5 chapters: Data Interpretation, Experimental Design, Scientific Inquiry and Inference, Conflicting Viewpoints and Applied Science Concepts. Together they contain 14 topics.
How many chapters are in AKU MBBS Admission Test Science Reasoning?
5 chapters, containing 14 topics. The largest chapter is Data Interpretation, with 3 topics.
Are there flashcards for AKU MBBS Admission Test Science Reasoning?
Yes — a 50-card Science Reasoning deck, printed in full in the flashcards section of this page and available in the Examius app with spaced repetition. The free plan covers one exam of your choice, including its flashcards; Examius Pro, a one-time purchase, unlocks every other exam and deck.