Answer:
False. Randomizing a variable such as participant gender does not guarantee that it will not become a confounding variable. Randomization helps to ensure that any effects observed in the study are due to the treatment or intervention being studied, rather than due to systematic differences between groups. However, confounding variables can still arise if there are other factors that systematically differ between groups and are related to the outcome being studied. It is important to control for potential confounding variables in study design and analysis to minimize the risk of spurious associations.
Step-by-step explanation: