Final answer:
Experimenter bias occurs in a study when a male experimenter interacts differently with participants based on gender, potentially affecting the study's results.
Step-by-step explanation:
When a male experimenter interacts differently with female participants than he does with male participants, this is an example of experimenter bias in the study.
This type of bias can affect the results of a study, as the experimenter's different treatment of participants based on their gender may influence their responses or behaviors. To ensure the integrity of the research,
it is crucial for experimenters to strive for objectivity and avoid any personal biases that might contaminate the data.