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part2 categorical typo #92

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part2 categorical typo #92

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4 changes: 2 additions & 2 deletions chapters/part2/categorical/index.html
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Expand Up @@ -16,9 +16,9 @@
<tr><td>Sunny</td><td>$\p(X = \text{Sunny) = 0.49}$</td></tr>
<tr><td>Cloudy</td><td>$\p(X = \text{Cloudy) = 0.30}$</td></tr>
<tr><td>Rainy</td><td>$\p(X = \text{Rainy) = 0.20}$</td></tr>
<tr><td>Rainy</td><td>$\p(X = \text{Snowy) = 0.01}$</td></tr>
<tr><td>Snowy</td><td>$\p(X = \text{Snowy) = 0.01}$</td></tr>
</table>

<p>Notice that the probabilities must sum to 1.0. This is because (in this version) the weather must be one of the four categories. Since the values are not numeric, this random variable will <b>not</b> have an expectation (values are not numbers) variance nor a PMF expressed as a function, as opposed to a table.</p>

<p>Note to your future self: A categorical distribution is a simplified version of a <a href="{{pathToRoot}}part3/multinomial/">multinomial distribution</a> (where the number of outcomes is 1) </p>
<p>Note to your future self: A categorical distribution is a simplified version of a <a href="{{pathToRoot}}part3/multinomial/">multinomial distribution</a> (where the number of outcomes is 1) </p>