Difference between Null hypothesis and Alternative Hypothesis with simple example

The video begins by outlining the scientific method: observation, asking questions, formulating a hypothesis, conducting experiments, drawing conclusions, and publishing results. A hypothesis is defined as an educated guess or a testable predictive statement based on prior knowledge or research.

The alternative hypothesis (H1) is what a researcher tries to prove. Using an example of biofertilizer X on plant growth, the H1 would be that application of biofertilizer X increases plant growth.

The null hypothesis (H0) is the opposite of the alternative hypothesis and is what the researcher tries to disprove or nullify. In the same example, the H0 would be that application of biofertilizer X does not increase plant growth.

The alternative hypothesis predicts a statistically significant relationship between variables (e.g., biofertilizer X, the independent variable, affects plant growth, the dependent variable). Conversely, the null hypothesis predicts no relationship between these variables.

At the end of an experiment, either the alternative or null hypothesis is accepted. Accepting the null hypothesis doesn't mean failure but suggests refining the alternative hypothesis for better answers to the problem.