Statistics for Data Science and Business Analysis - Measuring Skewness

The video tutorial explains skewness, a measure of asymmetry in data sets. It introduces skewness, discusses its calculation, and emphasizes its importance in understanding data distribution. Examples of positive, negative, and zero skewness are provided, highlighting how skewness affects the mean, median, and mode. The tutorial concludes by stressing the role of skewness in linking central tendency measures with probability theory, enhancing data comprehension.

What does it mean when a data set has no skew?

How does skewness affect the interpretation of data?