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fix: cmf -> pmf

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Youwen Wu 2025-02-16 13:10:03 -08:00
parent 41014ef875
commit c0f7dfd5f4
Signed by: youwen5
GPG key ID: 865658ED1FE61EC3
2 changed files with 2 additions and 2 deletions
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2
src/posts/2025-02-16-probability-distributions.md
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@ -82,7 +82,7 @@ $$P(X \leq b) = \int_{- \infty}^{b}f(x)dx$$
for all $b \in {\mathbb{R}}$, then $f$ is the **probability density
function** (hereafter abbreviated p.d.f. or PDF) of $X$.
We immediately see that the p.d.f. is analogous to the c.d.f. of the
We immediately see that the p.d.f. is analogous to the p.m.f. of the
discrete case.
The probability that $X \in ( - \infty,b\rbrack$ is equal to the area

2
typst/2025-02-16-probability-distributions.typ generated
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@ -92,7 +92,7 @@ Now as promised we introduce another major class of random variables.
abbreviated p.d.f. or PDF) of $X$.
]
We immediately see that the p.d.f. is analogous to the c.d.f. of the discrete case.
We immediately see that the p.d.f. is analogous to the p.m.f. of the discrete case.
The probability that $X in (-infinity, b]$ is equal to the area under the graph
of $f$ from $-infinity$ to $b$.