Assignments from 2018

In the next few months I’ll be adding details of the new Higher Physics Assignment with starter sheets.

February 2020

Well that didn’t happen did it? I’m on to it now! Until I can get properly up to date how about trying the experimental sheets in the document below which I’ve taken from Outcome 3s of the old Higher Course, for those who remember.

TopicStarter SheetAdditional Help
'g' AH 'g' a 2018
'g' BH 'g' b 2018
SlopesH g from slope 2020
RefractionH Refraction A 2018
Critical AngleH Refraction B 2018
PlanckH h 2018
1/d2H 1over d^2 2018
Half value thicknessH Half Value Thickness 2020
A.C. D.C. aH ACDC a 2018
A.C. D.C. bH ACDC b 2018
Internal Resistance & EMF A
Internal Resistance & EMF B
Capacitors A
Capacitors B
Capacitors C
Capacitors D
Wheatstone BridgeH Wheatstone 2018Wheatstone
Op AmpsOp amps

This summary is based on the updated information from the SQA. The first two links are for the candidate guide which is produced by the SQA and contains the information that students can access. This can be taken into the reporting stage of your assignment. It is important to check off what you have done at the end of your assignment with the marking instructions. Prior to this it would be a good idea to have gone through the Practical Skills Booklet.

The link below takes you to the full information document which is produced by the SQA. It is a current document. This cannot be taken into the Reporting stage of your assignment, although the document above can.

SQA Higher Physics Assignment.pdf


This assignment is worth 20 marks, contributing 20% to the overall marks for the course assessment. t applies to the assignment for Higher Physics.

Title and structureAn informative title and a structure that can easily be followed.1
AimA description of the purpose of your investigation.1
Underlying physicsA description of the physics relevant to your aim, which shows your understanding.3
Data collection and handlingA brief description of an approach used to collect experimental data.1
Sufficient raw data from your experiment.1
Data from your experiment, including any mean and/or other derived values, presented in a table with headings and units.1
Numerical or graphical data relevant to your experiment obtained from an internet/literature source, or raw data relevant to your aim obtained from your second experiment.1
A citation for an internet/literature source and the reference listed later in the report.1
Graphical presentationThe axes have suitable scales.1
Suitable labels and units on the axes.1
All data points plotted accurately and, where appropriate, line or curve of best fit drawn.1
UncertaintiesScale reading uncertainties shown for all measurements and random uncertainty in measurements calculated.2
AnalysisAnalysis Discussion of experimental data.1
ConclusionA conclusion relating to your aim based on all the data in your report.1
EvaluationThree evaluative statements supported by justifications.3


It is really important that you get to grips with the uncertainty section. You will need this information for your Assignment and it could well form a question on the exam paper.

The key is remembering that ANY measurement is liable to uncertainty. Get that and you’re half way there!


Random and systematic uncertainty

Uncertainties and data analysis

  • All measurements of physical quantities are liable to uncertainty, which should be expressed in absolute or percentage form. Random uncertainties occur when an experiment is repeated and slight variations occur. Scale reading uncertainty is a measure of how well an instrument scale can be read. Random uncertainties can be reduced by taking repeated measurements.Systematic uncertainties occur when readings taken are either all too small or all too large. They can arise due to measurement techniques or experimental design.
  • The mean of a set of readings is the best estimate of a ‘true’ value of the quantity being measured. When systematic uncertainties are present, the mean value of measurements will be offset. When mean values are used, the approximate random uncertainty should be calculated. When an experiment is being undertaken and more than one physical quantity is measured, the quantity with the largest percentage uncertainty should be identified and this may often be used as a good estimate of the percentage uncertainty in the final numerical result of an experiment. The numerical result of an experiment should be expressed in the form final value ±uncertainty.


Whenever you do an experiment there will be uncertainties.

There are three types of uncertainty and effects to look out for at Higher.

Systematic Effects

Here the problem lies with the design of the experiment or apparatus. It includes zero errors. Sometimes they show up when you plot a graph but they are not easy to recognise, as they are not deliberate. Systematic effects include slow running clocks, zero errors, warped metre sticks etc. The best way to ensure that these are spotted is to acknowledge their existence and go looking for them. Where accuracy is of the utmost importance, the apparatus would be calibrated against a known standard. Note that a systematic effect might also be present if the experimenter is making the same mistake each time in taking a reading.

Random Uncertainties

These uncertainties cannot be eliminated. They cannot be pinpointed. examples include fluctuating temperatures, pressure and friction. Their effect can be reduced by taking several readings and finding a mean.

Reading Uncertainties

These occur because we cannot be absolutely certain about our readings when taking measurements from scales. Use scales with mirrors where possible, good scales and repeat all measurements.

Repeat all experiments to reduce the reading and random uncertainties. Systematic effects are not improved by taking lots of results.

Which experiment has the best design?

Quantifying Uncertainties

 1.Find the mean

This is the best estimate of the “true” value but not necessary the “true” value.

          2. Find the approximate random uncertainty in the mean (absolute uncertainty)

This can be written as  and it is sometimes referred to as average deviation or absolute uncertainty.

3. Find the percentage uncertainty.


Scale Reading Uncertainty

This value indicates how well an instrument scale can be read.

An estimate of reading uncertainty for an analogue scale is generally taken as:

± half the least division of the scale.

Note: for widely spaced scales, this can be a little pessimistic and a reasonable estimate should be made.

For a digital scale it is taken as

± 1 in the least significant digit displayed.

Or uncertainty in reading ÷reading × 100%

Overall final Uncertainty

When comparing uncertainties, it is important to take the percentage in each.

In an experiment, where more than one physical quantity has been measured, spot the quantity with the largest percentage uncertainty. This percentage uncertainty is often a good estimate of the percentage uncertainty in the final numerical result of the experiment.

eg if one measurement has an uncertainty of 3% and another has an uncertainty of 5%, then the overall percentage uncertainty in this experiment should be taken as 5%