”[8] The formula provided is correct, but the interpretation of a 95% probability that the interval covers the true parameter is unequivocably wrong.[9] The third edition’s chapter by Shari Seidman Diamond on survey research, on the other hand, gave an anodyne example and a definition: “A survey expert could properly compute a confidence interval around the 20% estimate obtained from this sample. [read post]