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Explanation: Selection bias occurs when certain segments of the population are over- or under-represented in the sample. Stratified sampling effectively combats this issue by dividing the population into well-defined strata and sampling proportionally from each. This ensures balanced representation, minimizes bias, and provides a clearer reflection of the entire population. This technique is particularly useful in diverse populations, where subgroups may have different characteristics relevant to the analysis. Option A: Convenience sampling often increases selection bias as it does not account for representativeness. Option B: Systematic sampling can reduce bias but may inadvertently introduce patterns if the population is ordered. Option D: Self-selection introduces significant bias as it relies on participant interest, skewing the sample. Option E: Historical data may not be representative of current conditions, leading to bias in conclusions.
The books supplied to the sections will be in the custody of the Assistant Audit Officers in charge of the sections.
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