Newsletter Subscribe
Enter your email address below and subscribe to our newsletter
Enter your email address below and subscribe to our newsletter
A clear guide explaining hypotheses, their types, and their role in analysis and experimentation.
A hypothesis is a testable statement or assumption made about a relationship between variables. It forms the foundation of scientific research, data analysis, and evidence-based decision-making.
Definition
A hypothesis is a proposed explanation or prediction that can be tested using observation, experimentation, or data analysis.
Hypotheses are developed based on existing knowledge, theory, or observation. They provide direction for research by clearly stating what is being tested.
In statistics and research design, hypotheses are often framed as null hypotheses (H₀) and alternative hypotheses (H₁). The research process then evaluates whether available evidence supports or rejects the stated assumption.
Clear hypotheses improve study design, data collection, and interpretation of results.
A business hypothesizes that offering free delivery will increase online sales. This assumption is then tested using controlled experiments or sales data analysis.
Hypotheses matter because they:
It is clear, specific, and testable.
No, a hypothesis is tested; a theory is well-supported over time.
Yes, they may evolve as new evidence emerges.