is a standardized version

of covariance.

Here are the haikus that the Spring 2024 Math 138 students have permitted me to share.

*An ode to variances, contingencies, and goodness of fit*

Oh no, negatives!

What am I supposed to do?

I know! Just square it.

Mean, median, mode,

Data parties at the graph,

Spread's wider than hoped!

ANOVA tests, groups

Compared, variances seen,

Significance gleams

Critical region

supports the alternative

when data is there

In testing goodness

p-values reveal the fit

Data speaks its truth.

How do I find this?

That equation looks ugly!

Plug it into R

Statistics class is

where you can calculate p

and find its value

Test Equality

Two Means depends on sigma

And normal samples

Alpha and beta

can help someone understand

critical regions!

Chi distribution

used with test statistic of

the variance tests.

Probability

It's everywhere in the world

and I'm done with it