(Basic Statistics for Citizen Data Scientist) Identifying Outliers and Missing Data The Real Statistics Resource Pack provides an option for identifying potential outliers in a sample. Assuming the sample is normally distributed (based on the Central Limit Theorem), we know that NORM.S.DIST(-2.5,TRUE) = 0.621% of the data should have a z-score less than -2.5. Similarly … Continue reading Statistics for Beginners in Excel – Identifying Outliers and Missing Data using Real Statistics