Confidence Level: This term refers to how certain we want to be about our estimation. For example, if we choose a 95% confidence level, it means we are 95% confident that our estimation falls within the margin of error.
Sample Size: The number of individuals surveyed or polled is crucial because a larger sample size tends to reduce the margin of error.
Sampling Bias: This term describes when certain groups have been systematically excluded or underrepresented in the selection process for a survey or poll, leading to inaccurate estimations.