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EDEXCEL INTERNATIONAL A LEVEL CHEMISTRY • WCH16

Chemistry 6

Practical Skills in Chemistry II — experimental design, measurements, titration, uncertainty, data analysis, evaluation and scientific reasoning.

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.

Exam focus:

You should be able to interpret experimental information, process data, identify errors, suggest improvements and use appropriate chemical knowledge to explain observations.

Remember:

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.

1 Plan
2 Measure
3 Process
4 Evaluate
5 Conclude

TOPIC 01

Experimental Design

A good experiment must be designed so that the results can answer the question being investigated.

Variables

Planning an Investigation

Key idea:

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
Balance
Thermometer

Choosing Apparatus

The apparatus should be appropriate for the required measurement and should provide sufficient precision.

Exam tip:

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

  1. Rinse and prepare the apparatus appropriately.
  2. Measure a known volume of solution.
  3. Add the titrant carefully from the burette.
  4. Use a suitable indicator when required.
  5. Identify the endpoint.
  6. 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.

Amount = concentration × volume

TOPIC 04

Rates of Reaction Experiments

Rate experiments investigate how factors such as concentration, temperature or catalysts affect reaction rate.

Common Measurements

Graphs

Experimental data can be plotted to determine the relationship between variables.

Rate = change in quantity / time
Initial rate:

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

Le Chatelier's principle:

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

Observations

Observations should be precise and distinguish between what is actually observed and the chemical explanation of that observation.

Observation ≠ explanation:

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

Exam tip:

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

Important:

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.

25.0 ± 0.5

Example measurement with an absolute uncertainty.

Measurement range visualisation
2.0%

Percentage uncertainty for the example measurement.

0.5 ÷ 25.0 × 100

Absolute Uncertainty

Absolute uncertainty describes the uncertainty associated with an individual measurement.

Percentage Uncertainty

Percentage uncertainty = (absolute uncertainty / measured value) × 100

Reducing Uncertainty

TOPIC 10

Errors and Reliability

R

Random Error

Causes unpredictable variation between measurements. Repeated measurements can help identify its effect.

S

Systematic Error

Produces a consistent bias in measurements and is not normally removed simply by repeating the measurement.

Reliability:

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.

Dependent variable
Independent variable

Good Graph Practice

Gradient

The gradient of a graph can provide useful information about a physical or chemical relationship.

Gradient = change in y / change in x

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

Strong exam language:

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

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.

1 Limitation
2 Effect
3 Improvement
4 Reason

TOPIC 14

Risk Assessment and Safety

Safe experimental practice requires identifying hazards, assessing risks and taking suitable precautions.

Typical Safety Considerations

Risk reduction:

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.

✓ Design a suitable investigation
✓ Select appropriate apparatus
✓ Identify experimental variables
✓ Record observations accurately
✓ Process experimental data
✓ Calculate uncertainties
✓ Plot and interpret graphs
✓ Identify anomalous results
✓ Evaluate procedures
✓ Suggest realistic improvements
✓ Explain observations chemically
✓ Assess safety and precautions

PRACTICE

Unit 6 Mixed Practice

6 QUESTIONS
1. What is the difference between a random error and a systematic error?
Show answer

A random error causes unpredictable variation between measurements, whereas a systematic error produces a consistent bias in measurements.

2. Why are repeated measurements useful?
Show answer

Repeated measurements can reveal random variation, help identify anomalous results and allow a suitable mean value to be calculated.

3. State three variables that should be considered when designing an investigation.
Show answer

The independent variable, dependent variable and relevant control variables.

4. A measurement is 25.0 units with an absolute uncertainty of ±0.5 units. Calculate the percentage uncertainty.
Show answer

Percentage uncertainty = (0.5 / 25.0) × 100 = 2%.

5. Why should an anomalous result not simply be removed?
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.

6. What makes an experimental improvement a strong evaluation point?
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

Percentage uncertainty = (absolute uncertainty / measured value) × 100
Gradient = change in y / change in x
Rate = change in quantity / time
Remember:

Good practical answers connect the measurement, the source of uncertainty or error, its effect on the result, and a realistic improvement.