**Category:**HS Statistics and Pr...**Uploaded by HirooKato on:**2012-09-27 19:54:28

(80%) (2 Votes)

Kelly Castaneda of the Xrds School uses this video to support
student understanding of how to identify outliers in a data set
using 1.5 x IQR. Questions this video answers What is an outlier?
How do I...

Kelly Castaneda of the Xrds School uses this video to support

student understanding of how to identify outliers in a data set

using 1.5 x IQR. Questions this video answers What is an outlier?

How do I know if a value is an outlier? What are those dots in a

boxplot?

student understanding of how to identify outliers in a data set

using 1.5 x IQR. Questions this video answers What is an outlier?

How do I know if a value is an outlier? What are those dots in a

boxplot?

Comments (2 of 2)

In this video, I really like that everything stays on the same screen. This can be a difficult aspect to keep under control, but with the organization of the math in this video, keeping everything on the same screen works well. It might be helpful if the IQR is explained a little bit more in depth. One thing I liked though is that the there is a picture of the set of values shown.

Ms. Castaneda is extremely articulate, thorough, and easy to follow. I like how she explains what an outlier is at the beginning. I had no idea there was an equation to determine if a value was on outlier or not. Very interesting. And she makes it clear. I like the pace of the video. And I like how she relates it to a real life problem of number of text messages and that she brings the solutions back to the problem at the end by explaining there is no such thing as a negative amount of text messages. It is important to reference the problem while solving and it can be hard to remember.