Chapter 11: Measurement and Data Processing Flashcards
Distinguish between qualitative and quantitative data
Qualitative data: non-numerical observations made during experiment
- Eg. Precipitate forming, effervescence, colour change
Quantitative data: numerical data
- Eg. Mass, volume, time
What are random uncertainties in measurements?
Random uncertainties: uncertainties caused by limitations in the measuring apparatus or uncontrollable variables (wind/air pressure) that are inevitable in all experiments
- Effect can be reduced by: taking repeated measurements (obtain a more reliable mean value that will more closely represent the true mean)
- Will cause non-directional fluctuations (measurements will be distributed on both sides of the mean)
- Represented by quoting an uncertainty (± ___) along with a value
- Analogue instruments: uncertainty is half its smallest division
- Digital instruments: uncertainty is its smallest division
What are human limitations?
Human limitations: random errors associated with the person conducting the experiment
- Eg. Recording time to 3 d.p when human reaction time is 0.3s-0.5s (unrealistic data)
Distinguish between precision and accuracy
Precision: reproducibility of the results (how close the repeated values are to each other and the mean)
- Affected by random uncertainties: the smaller the random uncertainty, the smaller the spread, and the higher the precision)
Accuracy: how close the measured values are to the actual value
- Affected by systematic error: low accuracy indicates systematic error
What are systematic errors in experiments?
Systematic errors: errors introduced into an experiment by the experimental apparatus or procedure
- Always causes directional fluctuations
- Effect cannot be reduced by taking repeated measurements, and can only be reduced by modifying the experimental procedure
- Represented by calculating percentage error and comparing it with the percentage uncertainty
% error =
Lit. value - Expt. value / Lit. value x 100% - If % error > %Δ, experiment has systematic error
- If % error < %Δ, experiment worked well (random error > systematic error)
How are values with uncertainties quoted?
- Values should be quoted to the same number of decimal places as the uncertainty
Eg.
157.47±0.1 –> 157.5±0.1 (1 d.p)
157.5±8 –> 158±8 (accurate to the ones place)
158±20 –> 160±20 (accurate to tens place)
160±100 –> 200±100 (accurate to the hundreds place)
Distinguish between decimal places and significant figures
Decimal places: number of digits after decimal point
Significant figures: number of digits in a measurement, excluding leading zeroes and including/excluding lagging zeroes
- Ambiguity of lagging zeroes can be avoided by expressing numbers in scientific notation
How are results quoted to the appropriate number of d.p/s.f
If calculation only involves addition and subtraction:
- Final answer: same no. of d.p as piece of original data with the fewest d.p
If calculation only involves multiplication and division:
- Final answer: same no. of s.f as piece of original data with the fewest s.f
Calculate absolute and percentage uncertainties
Percentage uncertainties (%Δ)
= Absolute uncertainty/Value x 100%
= Δa/a x 100%
Absolute uncertainty (Δ)
= Percentage uncertainty/100 x Value
= %Δ/100 x a
How are uncertainties combined?
Quantities added/subtracted:
- Absolute uncertainties (Δ) are added together and rounded UP to the appropriate number of d.p
Quantities multiplied/divided:
- Percentage uncertainties (%Δ) are found and added up
- Total %Δ is converted back to Δ
Calculate Index of Hydrogen Deficiency (IHD) based on molecular formula
- Double bond/ring: IHD=1
- Triple bond: IHD=2
- Oxygen atom: does not affect IHD
- Halogen atom: counted as H atom
- Nitrogen atom: subtract 1 H atom for every N atom present
- Benzene: IHD=4 (1 ring, 3 double bonds)
C꜀HₕNₙOₒxₓ:
IHD = 1/2 x [2c+2-h-x+n]
Identify bonds present using infrared spectroscopy
INFRARED SPECTROSCOPY: electromagnetic radiation passed through the sample, frequencies absorbed (peaks) correspond to bonds present
- Below 1500 cm⁻¹: ‘fingerprint region’
- Above 1500 cm⁻¹: can identify bonds corresponding to functional groups based on % transmittance and intensity of peak
(may not be able to distinguish between functional groups)
Use mass spectrometry to gain information about the structure of an organic molecule
MASS SPECTROMETRY: sample bombarded with high-energy electrons to produce positive ions
- Highest m/z value: molecular ion (M+: when just 1 electron is removed –> relative mR)
- Fragmentation pattern: when molecule breaks apart into smaller fragments
- (M+1)⁺ peak: presence of isotopes
Use nuclear magnetic resonance (NMR) spectroscopy to gain information about the structure of an organic molecule
NMR SPECTROSCOPY: energy from the radio frequency range of the electromagnetic spectrum
- Provides information about the number of proton environments in a molecule and the ratio of the number of H atoms in each environment