Placing a greater value on a research project that included 10,000 participants, as opposed to one investigating the same hypothesis where only 24 participants are used, demonstrates the concept of:

sample size

Explanation: sample size simply means the number of observations or items chosen as a representation of a population. Sample size is an important terminology used in statistical analysis as most statistical or experimental research cannot be performed using all the available observations in the entire population either due to cost or total impossibility. The larger the sample size, the better the generalization made about the entire population.

Therefore, a sample size consisting of 10,000 participants or observations will generalize more and hence, attract greater value and interest than the same analysis with a sample size of 24 participants.

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