We’ll discuss various levels of measurement and we’ll show you how you can present your data by means of tables and graphs.
We’ll also introduce measures of central tendency (like mode, median and mean) and dispersion (like range, interquartile range, variance and standard deviation).
In the first part of the course we will discuss methods of descriptive statistics.
You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance).
Then make sure to check out the 'Course introduction' and 'What to expect from this course' sections below, so you'll have the essential information you need to decide and to do well in this course!
If you have any questions about the course format, deadlines or grading, you'll probably find the answers here.
Are you a Coursera veteran and ready to get started?
Then you might want to skip ahead to the first course topic: 'Exploring data'.
Exploring Data -In this first module, we’ll introduce the basic concepts of descriptive statistics.
We’ll talk about cases and variables, and we’ll explain how you can order them in a so-called data matrix.