Numerical data looks at amounts or quantities. This popular type of data is used all the time, so it's important to know all about it! This tutorial looks at numerical data.
Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.
When you think of the mean of a data set, think of the word average. 'Mean' and 'average' are the same thing when you're talking about a set of data! This tutorial introduces you to mean and shows you how to find it!
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations.