Descriptive statistics is a tool for describing or summarizing or reducing to comprehensible form the properties of an otherwise unwieldy mass of data.
What I'm trying to demonstrate is the concept of comprehensible input, as did second language acquisition scholar Stephen Krashen did in this lecture of his.
For roughly 450 years, the great achievement of statisticians has been to reduce the complexity and fluidity of national populations into manageable, comprehensible facts and figures.
We've tried everything else, we've tried grammar teaching, drills and exercises, computers, but the only thing that seems to count is getting messages you understand, comprehensible input.
If comprehensible input is true, what we call the input hypothesis is true. Other things follow from it, and very important, coralary, the input hypothesis is this.
She tried to talk to him, partly by signs, partly in pidgin French, which, for some reason, she thought would be more comprehensible to him, and she had half a dozen phrases of English.
We also need to find books that allow us to use comprehensible input, which means that you should be able to understand about seventy five to eighty percent of what you're reading but not everything.