Inductive generalisation infers a probable conclusion about a population based on evidence from a sample. A large random sample in which 85% have internet access supports the claim that most households in the population likely have access. However, it does not justify an exact percentage or absolute statements about all households. The word “probably” reflects the probabilistic nature of the inference correctly.
Option A:
Option A overstates the precision by claiming that the population must have exactly the same percentage as the sample, ignoring sampling error.
Option B:
Option B cautiously states that most households have access, which aligns with the sample finding while acknowledging some uncertainty.
Option C:
Option C falsely claims that no household lacks internet, which directly conflicts with the 15% of sampled households without access.
Option D:
Option D attributes a legal or regulatory requirement for access, which goes far beyond the descriptive data.
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