Practical Skills Flashcards
Base Quantities
Mass
Distance
Time
Electric Current
Temperature
Amount of Substance
Luminous Intensity
Base Units/ Symbols
Kilogram (kg)
Metre (m)
Second (s)
Ampere (A)
Kelvin (K)
Mole (mol)
Candela (cd)
Prefixes, Symbols and Multipliers
femto f -15
pico p -12
nano n -9
micro μ -6
milli m -3
centi c -2
kilo k 3
mega M 6
giga G 9
tera T 12
peta P 15
Order of Operations
Brackets
Indices
Division
Multiplication
Addition
Subtraction
Measurement Error
The difference between the true value and the measured value.
The true value is taken from the data book or given by the manufacturer
Random Error
A measurement error in which measurements vary unpredictably.
For Example: Parallax Error
Calculate Mean to reduce random error
Systematic Error
Where values vary from the true values by the same amount each time.
For Example: Zero Error
Absolute Uncertainty
The spread of values within which are true
Percentage Uncertainty
100 x (Absolute Uncertainty/ Measured Value)
Combining Uncertainties
Uncertainties always increase
They never cancel out or subtract
1) When quantities (with the same units) are added or subtracted, the absolute uncertainties are added
2) When quantities (any units) are multiplied or divided, the percentage uncertainties are added
3) When quantities are raised to the power n, the percentage uncertainty is multiplied by n
Other Methods of Calculating Uncertainty
1) Calculate the Maximum (or minimum) calculated value. The difference between this and the actual value is absolute uncertainty.
2) Draw lines of best and worst fit using error bars. Calculate their gradients
Uncertainty on gradient = Gradient from best fit line - Worst fit line
Accuracy
An experiment produces a result close to the accepted value
Precision
The spread of repeated results in the same experiment
Reliability
Consistent results across different experiments
Resolution
Smallest division on the measuring instrument
Percentage Difference
100 x (Measured Value - True Value) / True Value
Determine Accuracy
If % difference < % uncertainty, then the experiment is considered accurate