If equal pay data includes only permanent workers who may be missed?

Correct answer: Casual informal and home based workers

The direct answer is A: casual, informal and home-based workers may be missed. Equal-pay data is useful only when it covers the people being compared. Permanent workers are recorded, but workers hired casually, working informally or producing goods from home may have different contracts, wages and working conditions. If they are excluded, unequal pay affecting them will not be visible. Option A is correct because these less-secure groups are outside the stated data coverage. Option B is wrong because permanent workers are already included, not missed. Option C is too narrow: the problem is not limited to managers; many categories of workers can be excluded. Option D is not a worker category at all, so furniture cannot be a missing group in equal-pay data. Step by step: identify the sample; it contains only permanent workers; compare that sample with the whole workforce; notice that casual, informal and home-based workers are absent; conclude that the result may look fairer than reality. Memory cue: a narrow sample gives a narrow picture.