Added appropriate code blocsk
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@ -22,17 +22,19 @@ If both values are above zero, a `lognormal` distribution is used. If not, a `no
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<Tabs>
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<TabItem value="ex1" label="5 to 10" default>
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When `5 to 10` is entered, both numbers are positive, so it generates a
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lognormal distribution with 5th and 95th percentiles at 5 and 10.
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When <code>5 to 10</code> is entered, both numbers are positive, so it
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generates a lognormal distribution with 5th and 95th percentiles at 5 and
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10.
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<SquiggleEditor initialSquiggleString="5 to 10" />
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</TabItem>
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<TabItem value="ex3" label="to(5,10)">
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`5 to 10` does the same thing as `to(5,10)`.
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<code>5 to 10</code> does the same thing as <code>to(5,10)</code>.
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<SquiggleEditor initialSquiggleString="to(5,10)" />
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</TabItem>
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<TabItem value="ex2" label="-5 to 5">
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When `-5 to 5` is entered, there's negative values, so it generates a normal
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distribution. This has 5th and 95th percentiles at 5 and 10.
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When <code>-5 to 5</code> is entered, there's negative values, so it
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generates a normal distribution. This has 5th and 95th percentiles at 5 and
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10.
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<SquiggleEditor initialSquiggleString="-5 to -3" />
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</TabItem>
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<TabItem value="ex4" label="1 to 10000">
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@ -173,9 +175,10 @@ Creates a [log-normal distribution](https://en.wikipedia.org/wiki/Log-normal_dis
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❓ Understanding <bold>mu</bold> and <bold>sigma</bold>
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</summary>
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<p>
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The log of `lognormal(mu, sigma)` is a normal distribution with mean `mu`
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and standard deviation `sigma`. For example, these two distributions are
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identical:
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The log of <code>lognormal(mu, sigma)</code> is a normal distribution with
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mean <code>mu</code>
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and standard deviation <code>sigma</code>. For example, these two distributions
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are identical:
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</p>
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<SquiggleEditor
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initialSquiggleString={`normalMean = 10
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