Hypothesis Testing: Unraveling The Nuances To Minimize Statistical Errors
In hypothesis testing, researchers evaluate competing hypotheses: the null hypothesis (H0), assuming no significant difference or effect, and the alternative hypothesis (Ha), suggesting an effect. Statistical analysis determines statistical significance (p-value), indicating whether the observed data strongly support rejecting H0 and accepting Ha. Considerations such as Type I and Type II errors, power, and effect…