Formulating testable hypotheses and systematically validating them through evidence-based experimentation and rigorous analysis.
Hypothesis testing transforms "I think this is true" into "the evidence shows this." It spans defining problems, constructing testable hypotheses, designing experiments, collecting and analyzing data, and applying findings to decisions. It is the core of evidence-based reasoning.
You make decisions based on intuition and past experience. You are learning what a hypothesis is, why verification matters, and how evidence-based thinking differs from opinion. You depend on guidance to structure your thinking but are developing the habit of asking "what evidence supports this?"
What Comes Next
If you've checked off most of this list, you're ready for the Hypothesis Former stage, formulating structured hypotheses by identifying variables and designing simple ways to test your claims. Bloom(1956)'s Taxonomy suggests connecting hypothesis concepts to real-world situations to progress from remembering and understanding to applying.
Measures proportional reasoning, probabilistic reasoning, correlational thinking, and hypothetico-deductive reasoning across Concrete, Transitional, and Formal levels, providing domain-specific evidence for hypothesis testing level boundaries.
5-tier belt system requiring hypothesis testing as a core competency from Green Belt onward, providing specific statistical tool criteria for checklist design.
Authoritative guide to hypothesis testing, p-values, confidence intervals, and Bayesian thinking. Provides academic authority for the statistical reasoning field.
U.S. government-accredited statistical handbook defining standard procedures for hypothesis testing, experimental design, and reliability analysis. Provides direct evidence for statistical methodology criteria in checklists.
