45-second Lesson excerpt

A short look inside a full Skewness Lesson.

Full Quizara Knowledge Point whiteboard Lessons run around 10 minutes. This 45-second excerpt shows one part of the explanation, with the in-lesson AI answering why skewness matters, followed by the transcript and key takeaway.

Preview length: 45 seconds. This is not the complete Skewness Lesson; full Knowledge Point Lessons run around 10 minutes. English captions are available from the video controls.

Exact excerpt transcript

Read the explanation.

A symmetric distribution, like the bell-shaped normal distribution, has no skew at all; its two sides mirror each other.

When the distribution is lopsided, skewness tells us in which direction.

A positive skewness value means the right tail is longer or fatter than the left, which we call positive skew.

A negative value means the left tail is longer or fatter, which we call negative skew.

Here is the single most important thing to fix in your mind, and it is the point that people get wrong: you name the skew by the side the long tail is on, not by where most of the data sits.