Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
Random errors occur due to unpredictable fluctuations in environmental conditions or difficulty in reading instruments. They affect the precision of a measurement and can be reduced by repeated trials and averaging.
Systematic errors occur due to flawed experimental design or poorly calibrated instruments (e.g., a zero error on a balance). They shift all measurements in the same direction, affecting accuracy.
Accuracy refers to how close a measured value is to the true or accepted value, while Precision refers to how close repeated measurements are to each other.
The uncertainty of an analogue scale is typically half of the smallest division, while for a digital scale, it is the smallest scale division.
Significant figures in a final result should reflect the precision of the least precise measurement used in calculations. In addition/subtraction, use the least number of decimal places; in multiplication/division, use the least number of significant figures.
The Percentage Error is used to compare an experimental value to a theoretical/literature value: .
📐Formulae
💡Examples
Problem 1:
A student measures the initial temperature of a reaction as and the final temperature as . Calculate the temperature change () and its absolute uncertainty.
Solution:
. For subtraction, add absolute uncertainties: . Final result: .
Explanation:
When quantities are added or subtracted, their absolute uncertainties are summed to find the total uncertainty.
Problem 2:
The mass of a metal block is and its volume is . Calculate the density and its percentage uncertainty.
Solution:
Density . Sum of percentage uncertainties: .
Explanation:
In multiplication and division, the percentage uncertainties (or fractional uncertainties) of the measurements are added together.
Problem 3:
If the experimental value for the enthalpy of combustion of ethanol is and the literature value is , calculate the percentage error.
Solution:
.
Explanation:
Percentage error measures the accuracy of the result compared to an established reference value.