In research, hypothesis testing plays a crucial role. “The hypothesis is a prediction of what will happen between the two variables” (June Helbig & Jayme Ambrose, 2022). It helps in determining the validity of a hypothesis by conducting experiments and analyzing the results. For example, in clinical studies, a null hypothesis might state that a new drug has no difference in effect compared to a placebo. The hypothesis can only be rejected after obtaining statistically significant results, which would indicate the efficacy of the drug. In psychological research, one can test the null hypothesis that a new therapeutic technique has no impact on reducing anxiety levels when compared with traditional methods. “We reject the null hypothesis when the data provides strong enough evidence to conclude that it is likely incorrect” (Simkus, 2023). This often occurs when the p-value (probability of observing the data given the null hypothesis is true) is below a predetermined significance level” (Simkus, 2023). Understanding these principles is vital in practice because it ensures interventions are evidence-based, allowing for informed discussions with patients about treatment efficacy.
Simkus, J. (2023). What is The Null Hypothesis & When Do You Reject The Null Hypothesis. Simply Psychology. https://www.simplypsychology.org/null-hypothesis-examples-how-to-state-when-to-reject.html
June Helbig & Jayme Ambrose. (2022). Applied Statistics for Health Care. Grand Canyon University (Ed.). (2022). Applied statistics for health care (2nd ed.).
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