Nonresponse bias is a common problem in many survey-based studies, where participants do not respond to questions. This can lead to a skewed sample, where the data collected is not representative of the population being studied. Nonresponse bias can be minimized by providing incentives for participants to respond, such as rewards or prizes, and by using follow-up surveys or interviews to reach those who do not respond initially. These methods can help reduce nonresponse bias and lead to more accurate results. For more help or advice, contact a our math expert today!