QC Sec 4 Science & Tech study materials
QC Sec 4 Science & Tech study resources

QC Sec 4 Science & Tech flashcards

QC Sec 4 Science & Tech · 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 experimenter in a controlled investigation; it is plotted on the horizontal axis and its effect on the dependent variable is measured.
Dependent variable
The factor measured as the response in an experiment; its value is expected to depend on the independent variable and it is plotted on the vertical axis.
Control group
A comparison group that receives no treatment or an inactive placebo, allowing the effect of the treatment to be separated from other influences on the outcome.
Confounding variable
An unmeasured factor that changes along with the independent variable and can therefore produce or mask an apparent effect, making the result ambiguous.
Random assignment
Allocating participants or samples to treatment groups by chance so that known and unknown characteristics are distributed evenly, reducing systematic bias between groups.
Double-blind procedure
A design in which neither the participants nor the researchers recording outcomes know who received which treatment, preventing expectations from biasing the results.
Fair test
An investigation in which only the independent variable is changed while all other relevant conditions are held constant, so any effect can be attributed to that variable.
Negative control
A sample or group expected to show no response to the treatment; if it does respond, the method or equipment is producing a spurious signal.
Correlation versus causation
Two variables changing together does not prove one causes the other; a confounding factor or reverse direction could explain the observed association.
Falsifiability
A property of a scientific hypothesis meaning some conceivable observation or experiment could show it to be false; untestable claims are not empirically scientific.
Statistical significance
A result is statistically significant when the probability of obtaining it by chance alone, if no effect existed, is below a chosen threshold such as 0.05.
Standard error of the mean
A measure of how precisely a sample mean estimates the population mean, calculated as the sample standard deviation divided by the square root of n.
Peer review
Independent experts assess a study's methods and reasoning before publication; it screens for flaws but does not itself replicate the findings.
Replication
Repeating a study with new samples or by other researchers; consistent results across independent replications strengthen confidence that a finding is real.
Sample representativeness
The degree to which a sample reflects the larger population, determined mainly by how subjects were selected rather than by sample size alone.
Accuracy versus precision
Accuracy is how close a measurement is to the true value; precision is how closely repeated measurements agree with each other, independent of the true value.
Random error
Unpredictable variation in measurements that scatters results above and below the true value; averaging repeated readings reduces its effect on the mean.
Systematic error
A consistent offset that shifts all readings in the same direction, often from miscalibration or faulty technique; it is not reduced by averaging and requires correction.
Percentage error
The absolute difference between a measured and an accepted value, divided by the accepted value and multiplied by 100, expressing deviation as a percentage.
Significant figures
The digits in a measurement that carry meaning about its precision; the last reported digit should be the first uncertain one.
Dimensional analysis
Checking or deriving an equation by comparing the base units of each term; both sides of a valid equation must have identical dimensions.
Order-of-magnitude estimate
A rough calculation using rounded values and known reference quantities, used to judge whether a precise answer is plausible.
Reading uncertainty
The unavoidable imprecision in reading an instrument, typically half the smallest scale division for analog devices and one unit in the last digit for digital displays.
Slope as rate of change
On a linear graph, the slope equals the change in the dependent variable divided by the change in the independent variable, carrying units of y per x.
Error bars
Marks on a graph showing the uncertainty or spread of each plotted value; overlapping intervals suggest the difference may not be statistically meaningful.
Logarithmic axis
A scale on which equal distances represent equal multiplicative factors, so exponential growth appears as a straight line.
Outlier
A data point far from the general trend; it should be investigated for measurement error before deciding whether to exclude it from analysis.
Negative feedback
A control mechanism in which the output opposes the change that produced it, stabilizing the system around a set point, as in a thermostat.
Energy efficiency
The ratio of useful energy output to total energy input, usually expressed as a percentage; the remainder is lost mainly as heat.
Mechanical advantage
The ratio of load force overcome to effort force applied by a machine; for a lever it equals the effort arm divided by the load arm.
Eutrophication
Nutrient enrichment of water, usually by nitrogen and phosphorus runoff, causing algal blooms and oxygen depletion that can kill aquatic life.
Trophic energy transfer
Only about ten percent of energy at one trophic level passes to the next; most is lost as heat and through respiration, limiting food chain length.