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Python 3, an Illustrated Tour Transcripts

Chapter: Numbers

Lecture: Walk-through: Statistics

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0:00
In this video we're going to look at stat test. So open that up in your editor. It looks like there's one function in here., let's run it.

0:09
I'm just going to right click here and say run and I get a name error on line 13. Okay, let's read what the test says to do

0:21
and see if we can make it so we don't get a name error, so we get a pass here.

0:25
It says calculate the mean, variance and standard deviation of the data array, store the results in m, v and s.

0:33
So this wants us to use the statistics library. So from statistics, import and we can say we're going to import the mean and the variance

0:48
and if we want to put this on another line, we could say stdev. So again, we put parentheses here

0:56
if we want to have our imports go across multiple lines. So here's data, we want to get the mean of it m is equal to the mean of the data,

1:05
v is the variance, v equals variance of data. and s equals standard deviation of data, looks good. Let's run itâ€” bingo, we're good.

1:18
So this is a library that's built into Python and it's good for doing basic statistics.

1:24
So rather than writing your own, take advantage of this because it's there.