Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
The Independent Variable (IV) is the factor that the investigator deliberately changes to observe its effect. In a graph, the IV is always plotted on the -axis.
The Dependent Variable (DV) is the factor that is measured or observed as it responds to changes in the IV. It is plotted on the -axis.
Controlled Variables are factors that must be kept constant throughout the experiment to ensure a 'fair test,' meaning any change in the DV is caused only by the IV.
A Hypothesis is a testable prediction, typically structured as: 'If the [Independent Variable] is increased, then the [Dependent Variable] will [increase/decrease] because [scientific reasoning].'
The Control Group is a setup that does not receive the experimental treatment (the IV), used as a baseline for comparison to ensure the results are valid.
Quantitative Data refers to numerical measurements (e.g., , ), while Qualitative Data refers to descriptive observations (e.g., 'the solution turned blue').
Reliability is improved by conducting multiple trials (at least 3-5) and calculating an average () to minimize the impact of random errors.
Accuracy describes how close a measurement is to the true value, while Precision describes how close repeated measurements are to each other.
📐Formulae
💡Examples
Problem 1:
A student wants to investigate how the concentration of hydrochloric acid () affects the volume of hydrogen gas () produced when reacting with a constant mass of magnesium () ribbon over . Identify the variables.
Solution:
Independent Variable: Concentration of (e.g., ). Dependent Variable: Volume of gas produced (). Controlled Variables: Mass of (), surface area of , and temperature () of the acid.
Explanation:
To ensure a controlled experiment, only the concentration of the reactant is varied. The volume of gas produced depends on the rate of collision between ions and the surface.
Problem 2:
In three trials, a student measures the time for a ball to fall: , , and . Calculate the mean time and the uncertainty.
Solution:
Mean: . Uncertainty: .
Explanation:
The mean provides a more reliable value for the dependent variable, while the uncertainty range indicates the precision of the measurements.