Question

1. why is it important to take many random samples when collecting population or biodiversity data? support your answer with evidence.

Explanation:

Taking many random samples helps reduce sampling bias. If only a few samples are taken, they might not represent the entire population or biodiversity accurately. For example, if studying plant biodiversity in a forest and only sampling one small area, rare plant species in other parts of the forest might be missed. With multiple random samples, a more comprehensive picture of the population or biodiversity is obtained. This increases the reliability and validity of the data.

Answer:

Taking many random samples is important as it reduces sampling bias and provides a more comprehensive, reliable, and valid picture of the population or biodiversity. For instance, in a forest biodiversity study, multiple samples avoid missing rare species in less - sampled areas.