Statements A, B, C, D and E together summarise basic terminology in sampling theory. A is true because the population is the full set of units to which the researcher wants to generalise, and B correctly defines a statistic as a value computed from a sample. Statement C accurately describes a parameter as a population characteristic, while D explains that parameters are typically unknown and estimated using statistics. E is also correct in noting that a census attempts to cover every unit, whereas F is false because measurement error can still occur even in a complete enumeration.
Option A:
Option A omits statement E, thereby failing to mention the important notion of a census study. Since E is a correct statement about covering every unit of the population, leaving it out means the option does not include all correct statements. Hence, it is incomplete.
Option B:
Option B includes F, which wrongly suggests that measurement error disappears once a census is conducted. Even when every unit is measured, instruments and respondents can still introduce error. Because Option B mixes a false statement with true ones, it cannot be the correct answer.
Option C:
Option C is correct because it lists A, B, C, D and E, all of which align with standard definitions in population and sampling concepts. It deliberately excludes F, which underestimates the possibility of measurement error. Thus this combination contains all and only the true statements.
Option D:
Option D drops statement A, ignoring the central definition of population, and includes F, which is false. By omitting a key true statement and adding an incorrect one, this combination misrepresents the basic concepts and is therefore invalid.
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