Pearson T Level Science — Food Sciences (Food OS)
T-Level Food Sciences
Answer sheet
Collecting and interpreting food production data
Separate mark scheme — do not issue with the student worksheet
Time guide: — · Questions: 32 · Total marks: 104
Written in occupational specialism style. Link answers to the food supply chain and safety systems.
Indicative marking points. Award marks for equivalent scientific or mathematical wording. Do not issue this sheet with the student worksheet.
1. State what is meant by a process control chart.
[1 mark]
- plots weight, T or pH vs time
2. State what is meant by mass balance.
[1 mark]
- in = out + waste + hold-up
3. State what is meant by a specification limit.
4. State what is meant by trend analysis.
[1 mark]
- looking at data over weeks
5. State what is meant by a laboratory COA.
6. State what is meant by sampling for QC.
7. State what is meant by uncertainty of a weight.
[1 mark]
- scale resolution and draughts
8. State what is meant by pack-weight law (idea).
[1 mark]
- average system / minimum weight
9. State what is meant by a dashboard KPI.
[1 mark]
- complaints, yield, downtime, micro fails
10. State what is meant by data integrity in food labs.
11. Pat is asked about a process control chart in a Pearson Food Sciences paper.
12. Pat is asked about mass balance in a Pearson Food Sciences paper.
13. Pat is asked about a specification limit in a Pearson Food Sciences paper.
14. Pat is asked about trend analysis in a Pearson Food Sciences paper.
(a) [2 marks]
- seasonal spoilage, supplier issues
15. Pat is asked about a laboratory COA in a Pearson Food Sciences paper.
16. Pat is asked about sampling for QC in a Pearson Food Sciences paper.
(a) [2 marks]
- enough to be representative
(b) [3 marks]
- retain a reference sample
17. In 100 kg, out 92 kg product and 5 kg waste. Unaccounted?
18. Mean pack weight 502 g, target 500 g. Difference?
19. 20 packs: 2 below the minimum. Percentage?
20. Downtime 40 min in an 8-hour shift. Percentage downtime?
21. Micro fail 1 in 50 lots. Percentage?
22. Yield target 96%. Actual 24.0 kg from 25.0 kg. Met?
23. Pat carries out a T-Level occupational task on food production data. This is a typical Pearson required-practical style question.
(a) [2 marks]
- Independent: the factor being investigated
- Dependent: the measured result or quality check
(b) [2 marks]
- follow the SOP and keep other variables constant
- so the test is fair / only one variable is changed
(c) [2 marks]
- not recording the batch/lot number or operator ID
24. Pat carries out writing or following an SOP for food production data. This is a typical Pearson required-practical style question.
(a) [2 marks]
- Independent: a step in the method
- Dependent: whether the acceptance criteria are met
(b) [2 marks]
- same calibrated instrument
- so the test is fair / only one variable is changed
(c) [2 marks]
- skipping a verification check
25. Pat carries out a COSHH / risk-assessment review for food production data. This is a typical Pearson required-practical style question.
(a) [2 marks]
- Independent: hazard
- Dependent: control measure effectiveness
(b) [2 marks]
- same PPE and waste route
- so the test is fair / only one variable is changed
(c) [2 marks]
- using expired reagents or the wrong waste stream
26. Pat carries out data review in a LIMS or quality log for food production data. This is a typical Pearson required-practical style question.
(a) [2 marks]
- Independent: sample ID
- Dependent: result vs specification
(b) [2 marks]
- same calculation method
- so the test is fair / only one variable is changed
(c) [2 marks]
- transcription error between the instrument and the LIMS
27. Compare a process control chart with trend analysis.
[4 marks]
- plots weight, T or pH vs time
- looking at data over weeks
- state one workplace implication
28. Compare mass balance with a laboratory COA.
[4 marks]
- in = out + waste + hold-up
- certificate of analysis
- state one workplace implication
29. Compare a specification limit with sampling for QC.
[4 marks]
- LSL and USL
- random or structured
- state one workplace implication
30. Compare trend analysis with uncertainty of a weight.
[4 marks]
- looking at data over weeks
- scale resolution and draughts
- state one workplace implication
31. Apply your knowledge of uncertainty of a weight to this situation: average of repeats
32. Apply your knowledge of pack-weight law (idea) to this situation: e-mark