Pearson T Level Technical Qualification in Science (Science TQ)
T-Level Science
Answer sheet
Managing information and data
Separate mark scheme — do not issue with the student worksheet
Time guide: — · Questions: 32 · Total marks: 104
Written in T-Level core style. Use command verbs. Link answers to laboratory or food-science workplaces.
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 primary data.
[1 mark]
data you collect yourself
2.
State what is meant by secondary data.
[1 mark]
data from other sources
3.
State what is meant by a LIMS.
[1 mark]
Laboratory Information Management System
4.
State what is meant by traceability.
[1 mark]
ability to follow a result back to the sample and method
5.
State what is meant by confidentiality.
[1 mark]
keeping personal or commercially sensitive data secure
6.
State what is meant by accuracy.
[1 mark]
how close a result is to the true value
7.
State what is meant by precision.
[1 mark]
how close repeats are to each other
8.
State what is meant by an outlier.
[1 mark]
a result that does not fit the set
9.
State what is meant by significant figures.
[1 mark]
digits that carry meaning
10.
State what is meant by an audit trail.
[1 mark]
who did what and when
11.
Pat is asked about primary data in a Pearson Science paper.
(a) [2 marks]
titration titres, instrument printouts
(b) [3 marks]
must be recorded at the time
12.
Pat is asked about secondary data in a Pearson Science paper.
(a) [2 marks]
papers, certificates of analysis
(b) [3 marks]
must be referenced
13.
Pat is asked about a LIMS in a Pearson Science paper.
(a) [2 marks]
tracks samples, results and audit trails
(b) [3 marks]
reduces transcription error
14.
Pat is asked about traceability in a Pearson Science paper.
(a) [2 marks]
batch numbers, operator, date
(b) [3 marks]
needed for audits
15.
Pat is asked about confidentiality in a Pearson Science paper.
(a) [2 marks]
GDPR / Caldicott in health
(b) [3 marks]
do not share logins
16.
Pat is asked about accuracy in a Pearson Science paper.
(a) [2 marks]
checked with a certified standard
(b) [3 marks]
bias is systematic error
17.
Mean of 10.2, 10.4, 10.0, 10.2
[3 marks]
Final answer: 10.2
18.
Range of those four titres
[3 marks]
Final answer: 0.4
19.
A 25.00 cm³ pipette has a tolerance of ±0.03 cm³. Percentage of 25.00?
[3 marks]
Final answer: 0.12%
20.
GDPR fine idea: 4 of 80 records were left unlocked. Percentage?
[3 marks]
Final answer: 5%
21.
A chart shows 12 samples, 3 failed. Failure rate?
[3 marks]
Final answer: 25%
22.
Convert 0.00250 mol to millimoles
[3 marks]
Final answer: 2.50 mmol
23.
Pat carries out a T-Level occupational task on managing information and 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 managing information and 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 managing information and 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 managing information and 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 primary data with traceability.
[4 marks]
data you collect yourself
ability to follow a result back to the sample and method
state one workplace implication
28.
Compare secondary data with confidentiality.
[4 marks]
data from other sources
keeping personal or commercially sensitive data secure
state one workplace implication
29.
Compare a LIMS with accuracy.
[4 marks]
Laboratory Information Management System
how close a result is to the true value
state one workplace implication
30.
Compare traceability with precision.
[4 marks]
ability to follow a result back to the sample and method
how close repeats are to each other
state one workplace implication
31.
Apply your knowledge of precision to this situation: shown by a small range or SD
[3 marks]
shown by a small range or SD
32.
Apply your knowledge of an outlier to this situation: may be a mistake or a real extreme