Question 31

Experiments are conducted using random sample populations because studying an entire population is difficult and impractical.

Conducting experiments on an entire population can be logistically challenging and resource-intensive. Therefore, researchers use random samples to obtain representative data efficiently.

A) Because studying an entire population is difficult and impractical

This option accurately reflects a primary reason for using random samples. In many cases, accessing every individual in a population can be unfeasible due to time, cost, and logistical constraints, making random sampling a necessary alternative.

B) Because entire population data have too many outliers

While outliers can exist in population data, this statement does not capture the essential reason for using random samples. Random sampling is not specifically aimed at addressing outliers; rather, it is employed to simplify data collection and analysis.

C) Because random sample populations ensure bias elimination

Although random sampling does help reduce bias, this statement does not directly address the practical difficulties of studying an entire population. The focus of the question is on the feasibility of conducting research rather than the theoretical advantages of bias reduction.

D) Because the software to analyze entire populations is expensive

This statement is misleading; the cost of software is not the primary consideration in choosing to sample rather than study an entire population. The impracticality of gathering data from all individuals remains the main reason for opting for random samples.

Conclusion

In summary, the correct answer is A, as it highlights the practical challenges associated with studying entire populations. The other options, while they touch on relevant concepts, do not adequately address the core issue of feasibility and practicality that drives the use of random sampling in experiments.