00:01
This question asks you to consider the pros and cons of using the mean as a description of central tendency.
00:09
So we know that the mean is essentially adding up all of the data and dividing by how many data points there are.
00:19
We write that as the sum of x over n equals x bar.
00:25
So the mean is just the average of all the data points.
00:29
What's sort of the average? well, there's a couple pros.
00:33
Right away, we know it's pretty easy to calculate.
00:37
There are a lot of calculators that you can find online or even programming languages have built -in functions to find means of big sets of numbers.
00:50
It's a pretty easy method to find the center of a set of data.
00:56
We know it's also pretty simple.
00:58
There's only one thing we need to keep track of.
01:03
And if we only have, if we only need one number to describe where the center of our data is, then that's perfect.
01:10
So it's easy and it's simple, and it really takes into consideration every single data point.
01:16
Unlike, say, for example, the median, it doesn't take into consideration exactly where the other data points are...