Support for experiment planning is predominantly prompted by the imperative to address a specific research question or validate a hypothesis, demanding empirical evidence. The desire for data-driven decision-making across scientific, industrial, and medical fields fundamentally drives the need for structured experimentation. Moreover, practical considerations like optimizing processes or product development, understanding complex systems, and troubleshooting existing problems necessitate carefully designed trials. Factors such as resource constraints, the potential for significant impact, and strict ethical guidelines further amplify the importance of robust planning to ensure validity, reliability, and responsible execution. More details: https://sp.baystars.co.jp/community/club_baystars/shop_map.php?catg=bene&id=g_005&linkURL=https://infok.com.ua