uncertainty in analog scales
half of the smallest division visible on the scale
e.g. when measuring the volume on water on a measuring cylinder divided with a scale of 4ml, use ± 2ml
uncertainty in digital scales
the smallest scale division on the scale
e.g. when measuring weight and the reading says 10.00g, use 10.00 ± 0.01g
sources of uncertainty
significant figures
e. g. 10.00 has 4 significant figures as the .00 denotes the level of uncertainty
types of errors
- systematic
causes of random errors
how to reduce the probability of random errors
repeated trials
repeatable results
if the experimenter can duplicate the experiment and observes the same results
reproducible results
if different experimenters can duplicate the experiment and observe the same results
causes of systematic errors
poor experimental design/procedure
e. g. measuring the volume of water from the top of the meniscus instead of the bottom
e. g. using an acid–base indicator whose end point does not correspond to the equivalence point of the titration
how to reduce the probability of systematic errors
careful experimental design
accuracy
smaller systematic error = higher accuracy
precision
smaller random uncertainties = greater precision
graph setup (variables)
x-axis: independent variable
y-axis: dependent variable
drawing a line of best fit
applications of extrapolation of line of best fit
- by extrapolating the vol/temp graph for an ideal gas
interpolation
the assumption that the trend line applies between 2 points
recognizing errors with a graph
presence of outliers indicate that data may not be reliable
types of analysis
infrared spectroscopy
used to identify the bonds in a molecule
mass spectrometry
used to:
nuclear magnetic resonance spectroscopy (NMR)
mass spectrometry: fragmentation patterns
degree of unsaturation
AKA Index of Hydrogen Deficiency (IHD)