Measurement error increases dispersion in your dataset as scores are less consistent. For example, your standard deviation of the arm length variable will be higher if you measure it with a lot of error from person to person.

How would increased measurment error affect your $95\%$ confidence interval? Assume everything else about your sample stays the same.