Fisher's Favourite

Fisher's Favourite refers to a statistical method used to assess the significance of results in scientific research, particularly in relation to hypothesis testing. Named after the statistician Ronald Fisher, it emphasizes using a "p-value" to determine whether observed results are likely due to chance. If the p-value is below a predetermined threshold (commonly 0.05), researchers reject the null hypothesis, suggesting that their findings are statistically significant. This process helps scientists draw reliable conclusions from their data, guiding further research and decision-making based on the strength of the evidence.