Question 25

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

Random sample populations allow researchers to gather data and draw conclusions without the logistical challenges associated with studying every individual in a population. This approach facilitates effective analysis while maintaining the integrity of the results.

A) Because random sample populations ensure bias elimination

While random sampling does help reduce bias in research, the primary reason for using such methods is the impracticality of studying entire populations. Thus, this statement is relevant but not the best answer in this context.

B) Because the software to analyze entire populations is expensive

This option incorrectly emphasizes software costs as a reason for using random samples. While it may be true that analyzing large datasets can be resource-intensive, the fundamental issue is the difficulty of collecting data from entire populations, not the cost of software.

C) Because studying an entire population is difficult and impractical

This is the correct answer, as it highlights the logistical challenges involved in collecting and analyzing data from every individual in a population. Random sampling provides a feasible alternative, enabling researchers to obtain representative data without the extensive effort required for complete population analysis.

D) Because entire population data have too many outliers

This statement is misleading; while outliers can exist in any data set, the presence of outliers does not inherently justify the use of random samples. The focus should be on the practicality of studying populations rather than the characteristics of the data itself.

Conclusion

The correct answer, C, underscores the practical limitations researchers face when attempting to study entire populations. Options A, B, and D, while relevant to some extent, do not address the core issue of practicality that drives the use of random sampling in experiments. Random sampling remains an essential strategy for effective research design.