Final answer:
Hypothesis testing in statistics involves setting up two contradictory hypotheses, collecting data, analyzing and interpreting the results. In an interaction design study, the major stages of hypothesis testing include formulating the hypothesis, designing and performing experiments, and analyzing and interpreting results.
Step-by-step explanation:
Hypothesis testing is a process in statistics that involves setting up two contradictory hypotheses, collecting sample data, determining the correct distribution, analyzing the data, making a decision, and drawing a conclusion. In the context of an interaction design study, the three major stages of hypothesis testing would typically include:
- Formulating the hypothesis: This involves identifying the research question and forming a hypothesis that predicts the relationship between variables in the study.
- Designing and performing experiments: Scientists conduct experiments to gather data and test the validity of the hypothesis. This includes controlling variables, collecting accurate data, and interpreting the results.
- Analyzing and interpreting results: Scientists analyze the collected data using statistical methods to determine if there is enough evidence to reject or accept the null hypothesis. They interpret the results and draw conclusions based on the findings.