Tip: Choose Save as PDF in the print dialog to download. Use A4 paper size.
Shade in the A or B circle for each question.
Draw a line connecting each item on the left to its match on the right.
| Left column | Right column | |
|---|---|---|
| 1Missing groups | AThe records are outdated, so the decision may not match where people live now and could disadvantage current residents. | |
| 2Outdated records | BDecision based on faulty data | |
| 3A decision based on faulty data can harm a person, for example a loan refused because of a wrong credit record | CThe survey leaves out other year levels (missing groups), so the conclusion about all students is unfair and unsupported. | |
| 4Data that leaves out part of the population gives an unfair picture of the group being studied | DInformation that was correct once but has not been updated, such as an old address or a past enrolment, so decisions made from it can be wrong | |
| 5A school surveys only Year 12 students, then says 'all students want a later start time'. | EA dataset leaves out some people, such as a survey that never asks students who are away, so the results give an unfair picture of everyone | |
| 6A council uses 2005 population records to decide where to build a new library in 2025. | FIncomplete data |
Complete each line of code by filling in the missing parts.
Shade in the letter of the line that contains an error.
Inaccurate or incomplete data — Wrong, missing or out-of-date data can lead to false conclusions that harm people or give an unfair picture, such as leaving out groups or using old records.=COUNTBLANK(B2:B100)=IF(ISBLANK(C2),"Missing","OK")=IF(TODAY()-D2>365,"Outdated","Current")=IF(COUNTIF(E:E,"Year 12")=0,"Missing","OK")IF income = "" THEN
DISPLAY "Data missing"
END IF