Question

question 5: which sampling method gives results that are more likely to represent the whole population accurately? explain your reasoning. - random sampling: the practice of selecting a sample where every individual in the population has an equal chance of being chosen. - convenience sampling: the practice of collecting a sample from a population based on who is readily available or easy to reach. we believe that __ sampling gives results that are more likely to represent the whole population accurately because __

Explanation:

Random sampling is more representative because every individual in the population has an equal chance of being selected. This reduces bias, as convenience sampling may over - represent easily accessible groups and under - represent others, leading to a sample that doesn't reflect the whole population. Random sampling's equal - chance selection helps ensure the sample mirrors the population's characteristics.

Answer:

We believe that random sampling gives results that are more likely to represent the whole population accurately because every individual in the population has an equal chance of being chosen, which minimizes bias. In contrast, convenience sampling relies on easily accessible individuals, which can introduce bias as it may not reflect the diversity of the entire population.