A method limitation is any experimental design flaw or fault in the method that affects the accuracy of the results
Accuracy is how close a reading/measurement is to its true value
Precision - how similar repeat readings/measurements are to each other
The precision of a measurement is reflected in the values recorded – measurements to a greater number of decimal places are said to be more precise than those to a whole number
Experiments are repeated many times to ensure the reliability of results
The other variables in the experiment are identified and controlled in order to ensure the validity of an experiment
Units of measurement
A) m
B) 1000
C) volume
D) decimetre
E) area
F) kg
G) tonne
Units of measurement
A) s
B) 60
C) hour
D) pascal
E) 1000
F) energy
G) J
H) 1000
I) temperature
cm3 is the same as millilitre (ml)
dm3 is the same as litre (l)
To reduce random error:
Repeat measurements several times and calculate an average from them
percentage error = (uncertainty value ÷ your measurement) x 100
Smaller measuring instruments have higher resolution scales due to the smaller graduations on the scale. This means they have smaller margins of error
A small standard deviation indicates that the results lie close to the mean (less variation)
Large standard deviation indicates that the results are more spread out
For qualitative and discrete data, bar charts or pie charts are most suitable
For continuous data, line graphs or scatter graphs are most suitable
Scatter graphs are especially useful for showing how two variables are correlated (related to one another)
The data should be plotted with the independent variable on the x-axis and the dependent variable on the y-axis