A p-value is a number that tells us how likely it is to see data like what we have, if there's actually no effect or difference (the null hypothesis is true).
The p-value from the experiment was 0.03, which means there's a strong chance the null hypothesis is not true.
実験のp値は0.03で、これは帰無仮説が真でないという強い可能性があることを意味します。
The p-value helps us decide if our findings are important. A smaller p-value means there's less chance that the results happened by chance, and more reason to believe the null hypothesis is false.
Scientists often use a p-value of 0.05 as a cutoff to say the results are statistically significant, meaning they're probably not due to random chance.
科学者たちは通常、p値の0.05をカットオフとして使用し、その結果が統計的に有意であると言います。つまり、それらはおそらくランダムな偶然性によるものではないことを意味します。