QCAA Agricultural Science EA study materials
QCAA Agricultural Science EA study resources

QCAA Agricultural Science EA flashcards

QCAA Agricultural Science EA · Build recall with a focused review session.

32 cards. Read the term and the definition here. The deck at the top of this page is optional.

Independent variable
The factor deliberately changed or selected by the researcher between treatments, such as irrigation rate or fertiliser application, so its effect on the measured outcome can be observed.
Dependent variable
The variable measured as the response to the independent variable, for example crop yield in t/ha, liveweight gain in kg/day, or soil moisture percentage.
Controlled variable
A factor held constant across all treatments, such as soil type, planting depth or temperature, so it cannot confound the observed effect of the independent variable.
Validity
The extent to which an experiment measures the variable it claims to measure and the conclusion follows from the data, requiring controlled variables and appropriate measurement technique.
Reliability
The consistency of repeated measurements or trials; high reliability means replicates produce similar results, allowing a meaningful mean and measure of variation to be calculated.
Accuracy
How close a measured value is to the true or accepted value, improved by calibrating instruments and reducing systematic error rather than by repeating trials alone.
Replication
Repeating a treatment multiple times, ideally at least three, so random variation can be estimated and a mean with an associated uncertainty reported.
Randomisation
Allocating experimental units to treatments by chance rather than choice, preventing systematic bias from position, soil gradient or operator preference affecting results.
Control group
The untreated or standard-practice treatment against which other treatments are compared, providing a baseline to attribute observed differences to the independent variable.
Systematic error
A consistent directional error affecting all measurements equally, such as an uncalibrated scale reading high, which shifts results and reduces accuracy but not necessarily precision.
Random error
Unpredictable variation in measurements about the true value, reduced by taking more readings or replicates and averaged out in the mean rather than eliminated.
Percentage error
Calculated as the absolute difference between measured and accepted values divided by the accepted value, multiplied by 100, expressing measurement deviation relative to truth.
Mean
The arithmetic average, calculated by summing all values and dividing by the number of values; sensitive to extreme outliers in small agricultural datasets.
Median
The middle value when data are ordered from lowest to highest; resistant to outliers, making it useful for skewed yield, weight or price data.
Standard deviation
A measure of spread showing typical distance of values from the mean; a large value indicates highly variable performance within a paddock or herd.
Coefficient of variation
Standard deviation divided by the mean, expressed as a percentage; allows comparison of variability between datasets with different units or magnitudes.
Correlation coefficient
A value between negative one and positive one describing the strength and direction of a linear relationship between two variables; it does not prove causation.
Coefficient of determination
R-squared, the proportion of variation in the dependent variable explained by the regression model, expressed as a decimal or percentage between zero and one.
Regression slope
The change in the dependent variable for each one-unit increase in the independent variable, indicating the rate and direction of the relationship.
Line graph use
Appropriate when both variables are continuous, especially showing change over time such as monthly pasture growth or seasonal milk production trends.
Bar chart use
Appropriate for comparing a measured value across discrete categories, such as mean yield for different fertiliser treatments or breeds.
Scatter plot use
Appropriate for displaying the relationship between two continuous variables, such as rainfall versus yield, revealing trend, spread and outliers.
Water-use efficiency
The biomass or marketable yield produced per unit of water used, commonly expressed as kilograms per hectare per millimetre of water.
Feed conversion ratio
Feed consumed divided by liveweight gain over a period; a lower ratio indicates more efficient conversion of feed into animal production.
Gross margin
Gross income from a enterprise minus variable costs, used to compare enterprise profitability without allocating fixed overhead costs.
Break-even yield
The yield required so total revenue equals total costs, calculated as total costs divided by price per unit of product.
Primary source
Original data or research reported directly by those who collected it, such as a trial report or peer-reviewed experimental paper, generally carrying higher evidentiary weight.
Secondary source
A source that interprets, summarises or reviews primary data, such as a review article, extension bulletin or industry magazine, useful but one step removed from the data.
Source bias
A systematic slant in a source arising from commercial interest, advocacy or selective reporting, which must be identified and weighed when evaluating claims.
Synthesis of evidence
Combining findings from multiple sources to identify where they agree, conflict or leave gaps, producing an integrated answer rather than separate summaries.
Extrapolation
Applying findings from one context, such as a specific soil, climate or breed, to a different system where conditions may not hold, requiring explicit caution.
Confounding variable
An unmeasured factor that changes alongside the independent variable and can distort the apparent relationship, undermining causal claims drawn from the data.