UNIT OVERVIEW
Practical Skills in Chemistry II
Unit 6 develops and assesses practical chemistry skills using contexts drawn from the advanced chemistry content. The focus is not simply on carrying out an experiment, but on planning, analysing and evaluating experimental work.
You should be able to interpret experimental information, process data, identify errors, suggest improvements and use appropriate chemical knowledge to explain observations.
Unit 6 is a practical-skills examination. Strong knowledge of Units 4 and 5 is therefore important because practical questions can be placed in a variety of chemical contexts.
TOPIC 01
Experimental Design
A good experiment must be designed so that the results can answer the question being investigated.
Variables
- Independent variable — the variable deliberately changed.
- Dependent variable — the quantity measured.
- Control variables — factors kept constant.
Planning an Investigation
- Identify the purpose of the investigation.
- Choose suitable apparatus and measurements.
- Control relevant variables.
- Consider safety and appropriate precautions.
- Collect enough data to identify a reliable trend.
A method should be detailed enough that another scientist could repeat the investigation.
TOPIC 02
Measurements and Apparatus
Practical chemistry requires choosing appropriate apparatus and recording measurements with suitable precision.
Common Apparatus
- Burette
- Volumetric flask
- Measuring cylinder
- Pipette
- Balance
- Thermometer
- Gas syringe
- Stopwatch
Choosing Apparatus
The apparatus should be appropriate for the required measurement and should provide sufficient precision.
Do not automatically choose the apparatus with the largest capacity. Consider the precision required for the measurement.
TOPIC 03
Titration and Volumetric Analysis
Volumetric analysis uses accurately measured volumes to determine an unknown concentration or amount of substance.
Concordant titres
Repeat the titration and use appropriate concordant results when calculating the mean titre.
Typical Procedure
- Rinse and prepare the apparatus appropriately.
- Measure a known volume of solution.
- Add the titrant carefully from the burette.
- Use a suitable indicator when required.
- Identify the endpoint.
- Repeat until concordant titres are obtained.
Processing Results
Mean titres should normally be calculated using appropriate concordant results rather than including an obvious anomalous result.
TOPIC 04
Rates of Reaction Experiments
Rate experiments investigate how factors such as concentration, temperature or catalysts affect reaction rate.
Common Measurements
- Time taken for a reaction to reach a specified point.
- Volume of gas produced over time.
- Change in concentration over time.
Graphs
Experimental data can be plotted to determine the relationship between variables.
The initial rate can be estimated from the gradient of a tangent at the beginning of a suitable reaction graph.
TOPIC 05
Equilibrium Investigations
Practical investigations can be used to examine the effect of changing conditions on chemical equilibria.
Variables That May Be Investigated
- Concentration
- Temperature
- Pressure for suitable gaseous systems
When a system at equilibrium is disturbed, the position of equilibrium shifts in a direction that tends to oppose the change.
TOPIC 06
Organic Chemistry Practical Skills
Practical questions may require knowledge of organic reactions, purification and identification techniques from the A2 chemistry content.
Important Techniques
- Reflux
- Distillation
- Filtration
- Crystallisation
- Separation and purification
- Testing organic compounds
Observations
Observations should be precise and distinguish between what is actually observed and the chemical explanation of that observation.
First state what you can actually see, hear or measure. Then provide the chemical interpretation.
TOPIC 07
Inorganic Analysis
Practical chemistry may involve identifying ions or compounds using chemical tests and characteristic observations.
Types of Evidence
- Colour changes
- Precipitate formation
- Dissolution of precipitates
- Gas formation
- Changes following addition of reagents
Always distinguish between an observation and an inference. For example, record that a precipitate forms before explaining which ion may be responsible.
TOPIC 08
Recording Experimental Data
Experimental results should be organised clearly so that trends, anomalies and relationships can be identified.
Good Data Tables
- Include appropriate headings.
- Include units in headings where appropriate.
- Use consistent decimal places when appropriate.
- Record raw measurements clearly.
- Do not hide anomalous results.
The precision of recorded measurements should be appropriate to the measuring instrument being used.
TOPIC 09
Uncertainty
Every experimental measurement has a degree of uncertainty. Understanding uncertainty helps determine how reliable a result is.
Example measurement with an absolute uncertainty.
Measurement range visualisationPercentage uncertainty for the example measurement.
Absolute Uncertainty
Absolute uncertainty describes the uncertainty associated with an individual measurement.
Percentage Uncertainty
Reducing Uncertainty
- Use more precise measuring equipment.
- Take repeated measurements.
- Use a larger measurable quantity where appropriate.
- Calculate suitable mean values.
TOPIC 10
Errors and Reliability
Random Error
Causes unpredictable variation between measurements. Repeated measurements can help identify its effect.
Systematic Error
Produces a consistent bias in measurements and is not normally removed simply by repeating the measurement.
A reliable investigation produces results that are consistent when the experiment is repeated under the same conditions.
TOPIC 11
Graphs and Data Analysis
Graphs are used to identify relationships between experimental variables and to allow quantitative analysis.
Good Graph Practice
- Label both axes.
- Include units where appropriate.
- Use sensible scales.
- Plot points accurately.
- Use a suitable line or curve of best fit.
Gradient
The gradient of a graph can provide useful information about a physical or chemical relationship.
TOPIC 12
Anomalous Results
An anomalous result does not follow the general pattern of the other experimental results.
Identifying an Anomaly
Look for a measurement that lies significantly away from the expected trend or from the pattern shown by repeated results.
Dealing With Anomalies
- Do not simply delete a result without justification.
- Repeat the measurement where possible.
- Consider possible experimental causes.
- Explain how the anomaly affects the conclusion.
Identify the anomalous value, explain why it is anomalous, suggest a possible cause and state how repeating the experiment could help.
TOPIC 13
Evaluation of Experimental Methods
Evaluation requires more than saying that an experiment could be improved. The weakness should be identified and linked to a realistic improvement.
Strong Evaluation
- Identify a specific limitation.
- Explain how it affects the result.
- Suggest a practical improvement.
- Explain why the improvement would help.
EXAMPLE OF A STRONG EVALUATION
Instead of writing “use better equipment”, identify the measurement affected by limited precision and suggest a more appropriate instrument or procedure.
TOPIC 14
Risk Assessment and Safety
Safe experimental practice requires identifying hazards, assessing risks and taking suitable precautions.
Typical Safety Considerations
- Wear appropriate eye protection.
- Handle corrosive substances carefully.
- Use appropriate ventilation where required.
- Take care with heating equipment.
- Dispose of chemical waste appropriately.
A good precaution directly reduces the likelihood or severity of the identified hazard.
PRACTICAL SKILLS
What You Should Be Able To Do
Use this checklist as a final Unit 6 readiness scan.
PRACTICE
Unit 6 Mixed Practice
Show answer
A random error causes unpredictable variation between measurements, whereas a systematic error produces a consistent bias in measurements.
Show answer
Repeated measurements can reveal random variation, help identify anomalous results and allow a suitable mean value to be calculated.
Show answer
The independent variable, dependent variable and relevant control variables.
Show answer
Percentage uncertainty = (0.5 / 25.0) × 100 = 2%.
Show answer
It may contain useful information about an experimental problem. The result should be investigated and repeated where possible before deciding how it should be treated.
Show answer
The improvement should address a specific limitation and explain how it would improve the quality, reliability or accuracy of the results.
QUICK REVIEW
Unit 6 Key Ideas
Good practical answers connect the measurement, the source of uncertainty or error, its effect on the result, and a realistic improvement.