대립가설, or the "alternative hypothesis," is a key concept in statistical testing. It represents a statement that contradicts the 귀무가설 (null hypothesis) and suggests that there is an effect or a difference in the data being analyzed. Researchers use the 대립가설 to explore new theories or relationships between variables. In hypothesis testing, if the evidence from the data is strong enough to reject the 귀무가설, the 대립가설 is considered supported. This process helps scientists and statisticians determine whether their findings are statistically significant and can lead to new insights in various fields, including 의학, 심리학, and 사회과학.