A manufacturer tests a certain number of headsets that are produced each day. There is a 2.5% chance of finding a defective headset. If 280 units of that model are tested, the manufacturer would expect to find approximately (blank) headsets without any defects.

For a science project, a high school research team conducted a survey of local air temperatures. based on the results of the survey, the found that the average temperatures were around 10 degrees higher than expected. this result was wrong. the trouble with the survey was that most of the locations were exposed to direct sunlight and located over asphalt or sand, which resulted in higher temperatures than normal. this is a classic example of an error in which phase of inferential statistics?