What are the implications of null and alternative hypothesis?

The null hypothesis (H0) posits that there is no effect or no difference, serving as a baseline for statistical testing. The alternative hypothesis (H1) suggests that there is an effect or a difference. The implications of these hypotheses are crucial for hypothesis testing; if the null hypothesis is rejected based on the data, it supports the alternative hypothesis. This framework helps researchers determine whether observed results are statistically significant or likely due to chance.