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# Joy's End-of-Term Statistics Rap

Yo-yo listen...
Across the nation
There is a need for standard deviation
For explaining variation
For measuring correlation

But don't always believe what they say
in that USA today
'Cause you know that correlation don't imply causalateh

Is it a random sample?
Is the number of people ample?
Or is the response voluntary?
If so, this could get hairy!

Is the sampling biased?
Is the variation vast?
Then the results aren't legit
And we can kick your es-timate.

Chorus(think Eminem's "Lose Yourself" chorus):
Lose yourself in the data, the theory
You want it, you know you'll never let it go -- whoa.
Stats class is helpful, is necessary
You'll use it everywhere you go -- whoa.

Now here's a story
Of the residuals' glory.
Do the errors seem to fan?
Then rethink the regression, man.

Outliers can have an effect
That you can't neglect.
So first graph the data --
You'll be happy lay-tah.

Hey -- we have the same birthday.
Wow!
But we might see an effect that portends of consequence
When actually it's coincidence
Can we really be that dense?

The meaning of life, you ask?
Hear the roll of the drum...
It's the Central Limit Theorum.

Repeat Chorus

Now what if we want to estimate the mean of the population?
Do we just give an estimate, or is there more explanation?
If you say the confidence is in the interval not the method,
Then you haven't learned the lesson -- which is what I've dreaded.

When you're hearing someone rant