Accuracy
A measurement value is considered to be accurate if it is judged to be close to the true value of the quantity being measured.
Accuracy is a qualitative term; a measurement value or measurement result may be described, for example, as being ‘less accurate’ or ‘more accurate’ when compared with a true value.
Precision
A measure of the repeatability or reproducibility of scientific measurements and refers to how close two or more measurements are to each other.
A set of precise measurements will have values very close to the mean value of the measurements.
Precision gives no indication of how close the measurements are to the true value and is therefore a separate consideration to accuracy
Repeatability
How closely two successive measurements of the same quantity match, when carried out under the same conditions of measurement (observer, procedure, instrument, location).
Reproducibility
How closely two measurements of the same quantity match, when carried out under changed conditions of measurement (observer, procedure, instrument, location)
Resolution
The smallest change in the quantity being measured that results in a perceptible change on the measuring instrument. For example, the resolution of a burette is 0.10 mL.
Validity
A valid experiment investigates what it sets out and/or claims to investigate.
Both experimental design and the implementation should be considered when evaluating validity.
An experiment and its associated data may not be valid, for example, if the investigation is flawed and controlled variables have been allowed to change.
Data may not be valid, for example, if there is observer bias.
Random Errors
Affect the precision of a measurement and may be present in all measurements.
Random errors are unpredictable variations in the measurement process and result in a spread of readings
Eg subjective human judgement
Systematic Errors
Cause readings to differ from the true value in a systematic manner so that when a particular value is measured repeatedly, the error is the same.
Systematic errors result from limitations in the instrument itself or incorrect calibration, or inappropriate methods (including parallax).
Rules for Significant Figures (in Chemistry)
All digits where a number is expressed in standard form. For other numbers, all digits between the first non-zero digit and the final digit including trailing zeros. Whole numbers without a decimal point have the same number of sig-figs as digits in the number.
Outliers
Data points or observations that differ significantly from other data points or observations are sometimes called outliers.
Outliers in data must be further analysed and accounted for, rather than being automatically dismissed, as an ethical approach to dealing with data.
Repeating readings may be useful in further examining an outlier: for example, to determine whether the outlier is a personal mistake.
Steps for stoichiometry problems
How to calculate % (w/v)
Determine the mass in grams of the solute that would be present in 100 mL of the solution i.e., g/100mL
How to use the ideal gas equation to calculate volume in L
V = nRT/P
How to use the ideal gas equation to calculate pressure in kPa
P = nRT/V
How to use the ideal gas equation to calculate moles
n = PV/RT
How to use the ideal gas equation to calculate temperature in Kelvin
T = PV/nR
Standard conditions
25 degrees celsius and 100kPa
Units in the ideal gas equation (except R)
Pressure in kPa, Volume in L, Amount in moles, Temperature in Kelvin
Evidence for oxidation
Loss of electrons; Increase in oxidation number; gain of oxygen (except F); loss of hydrogen (eg organic molecules)
Evidence for reduction
Gain of electrons; decrease in oxidation number; loss of oxygen (except F); gain of hydrogen (eg organic molecules)
What happens to the oxidant (oxidising agent) in a redox reaction
It is reduced
What happens to the reductant (reducing agent) in a redox reaction?
It is oxidised
What is the site of oxidation?
The anode
What is the site of reduction?
The cathode