The normal distribution is a fascinating, naturally occurring phenomenon that has very relevant applications to understanding the world around us. When a data set is normally distributed it has some key properties that allow us to make predictions about the nature of the data set. The videos below go in to detail about those properties and how to use them to solve problems.
In this unit you should learn to…
Understand the nature and properties of data that is normally distributed
Calculate probabilities using the symmetrical properties of the normal distribution
Calculate probabilities using your GDC
Understand and use the inverse normal function
This video intoduces the idea of data sets and distributions leading to the key properties.
Here we look at the fundamental symmetrical properties and how we use them to solve problems.
This video goes through using your GDC and the Normal CDF function to solve problems
Self checking quiz
Practice your understanding on these quiz questions. Check your answers when you are done and read the hints where you got stuck. If you find there are still some gaps in your understanding then go back to the videos and slides above.
The following questions are based on IB exam style questions from past exams. You should print these off (from the document at the top) and try to do these questions under exam conditions. Then you can check your work with the video solution.