diff --git a/packages/website/docs/Features/Distributions.mdx b/packages/website/docs/Features/Distributions.mdx index c57ed075..2ade1a3c 100644 --- a/packages/website/docs/Features/Distributions.mdx +++ b/packages/website/docs/Features/Distributions.mdx @@ -22,17 +22,19 @@ If both values are above zero, a `lognormal` distribution is used. If not, a `no - When `5 to 10` is entered, both numbers are positive, so it generates a - lognormal distribution with 5th and 95th percentiles at 5 and 10. + When 5 to 10 is entered, both numbers are positive, so it + generates a lognormal distribution with 5th and 95th percentiles at 5 and + 10. - `5 to 10` does the same thing as `to(5,10)`. + 5 to 10 does the same thing as to(5,10). - When `-5 to 5` is entered, there's negative values, so it generates a normal - distribution. This has 5th and 95th percentiles at 5 and 10. + When -5 to 5 is entered, there's negative values, so it + generates a normal distribution. This has 5th and 95th percentiles at 5 and + 10. @@ -173,9 +175,10 @@ Creates a [log-normal distribution](https://en.wikipedia.org/wiki/Log-normal_dis ❓ Understanding mu and sigma

- The log of `lognormal(mu, sigma)` is a normal distribution with mean `mu` - and standard deviation `sigma`. For example, these two distributions are - identical: + The log of lognormal(mu, sigma) is a normal distribution with + mean mu + and standard deviation sigma. For example, these two distributions + are identical: