In this lesson, we learn about the basics of standardizing the data.
If our interest lies in working simultaneously with data that are on different scales or units, we can standardize them, so they are placed on the same level or footing. In other words, we will move the distributions from their original scales to a new common scale. This transformation will enable an easy way to work with data that are related, but not strictly comparable.
Lesson 28 – Apples and Oranges
In this lesson we continue our study of variance operator and its properties.
Lesson 27 – More variety
In this new lesson we learn the basics of variance operator for a random variable. This is part I.
Lesson 26 – The variety in consumption
In part II of expected values, we go over the additive property.
Lesson 25 – More expectation
This is part I of the Expected Value lessons.
Lesson 24 – What else did you expect?
In lesson 22, we discuss the basics of random variables.
Lesson 22 – You are so random
It is time to put theory into practice. Lesson 21 is a beginners guide to simmarize data in R.
Lesson 21 – Data R view
Coefficient of Variation is discussed this week.
Lesson 20 – Compared to what?
In lesson 19, we learn simple checks for outliers.
Lesson 19 – Voice of the outliers