Exercise

# Fisher's exact test

Now, you'll work with the Olympics dataset to look at the relative success of the American swimming and athletics teams. Whether each athlete received a medal is coded as `True`

or `False`

in the `MedalTF`

column of `athletes`

. Do a larger proportion of swimming or athletics participants come home with medals? A Fisher exact test is a useful way to compare proportions of samples falling into discrete categories. To test this, you'll need to perform a Fisher exact test on `MedalTF`

in relation to `Sport`

. `pandas`

and `plotnine`

have already been imported as `pd`

and `p9`

.

Instructions

**100 XP**

- Using the
`crosstab()`

function, produce a cross-tabulation of`MedalTF`

against`Sport`

, save the result as`table`

and`print()`

it. - Perform a
`fisher_exact()`

test on`table`

and print the result. - Compare the p-value to the given
`alpha`

and print the message.