To reduce bias in a sampling process, which of the

Solution

The most effective strategy to minimize bias in a sampling process is ensuring that every individual in the population has an equal chance of selection. This is achieved through probability sampling methods like simple random sampling. By giving each member of the population a known chance of being included, the likelihood of bias is minimized, and the sample is more representative of the entire population. This method allows researchers to generalize their findings to the population with a higher degree of confidence. Ensuring equal chances of selection helps eliminate bias that could arise from researcher preferences or systematic exclusion of certain groups. Why Other Options Are Incorrect: • A: Non-random sampling introduces bias because not all individuals have an equal chance of being selected. • C: While increasing the sample size can improve statistical power, it does not reduce bias if the sampling method remains flawed. • D: Convenience sampling introduces significant bias, as it relies on the researcher’s convenience rather than random selection. • E: Sampling from a single region or demographic group creates bias by failing to represent the diversity of the population.