The article discusses how to test statistical hypotheses by creating a model to represent the phenomenon being studied. The researchers focus on binomial distributions and look for significant deviations that could weaken or reject the hypothesis. They use a test statistic based on sample values to determine if the observed data align with the hypothesis. A small observed significance level indicates either an unlikely event has occurred or the data doesn't support the hypothesis.