CertNexus Certified Data Science Practitioner (CDSP) 2025 – 400 Free Practice Questions to Pass the Exam

The method known as Experimental Design is specifically focused on systematically planning experiments to assess the impact of one or more independent variables on a dependent variable. This approach enables researchers to control for confounding variables, randomize the assignment of treatments, and replicate experiments, which altogether contribute to producing valid and reliable results. By structuring experiments in this way, it allows for a clear understanding of cause-and-effect relationships, making it essential for investigating hypotheses in various fields, including data science.

Controlled Testing, while related to the experimental approach, is less comprehensive than experimental design because it may not always involve rigorous planning or comprehensive analysis of all influencing factors. Variable Analysis generally refers to evaluating and interpreting variables without necessarily following a systematic experimental framework. Survey Methodology pertains to data collection techniques focused on gathering information through surveys or questionnaires rather than directly conducting experiments to test hypotheses.