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WIP: Prepara ilustración LOESS para pdf #12

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6 changes: 4 additions & 2 deletions 01-exploratorio.Rmd
Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
\mainmatter

# Analisis exploratorio


Expand Down Expand Up @@ -986,7 +988,7 @@ if(!fs::file_exists(here::here("images", "02_loess-spans.gif"))){
anim_save(here::here("images", "02_loess-spans.gif"), loess_anim)
}

knitr::include_graphics(here::here("images", "02_loess-spans.gif"))
# knitr::include_graphics(here::here("images", "02_loess-spans.gif"))
```

**Escogiendo de los parámetros.** El parámetro de suavizamiento se
Expand Down Expand Up @@ -1045,7 +1047,7 @@ if(!fs::file_exists(here::here("images", "02_loess-spans-cuad.gif"))){
anim_save(here::here("images", "02_loess-spans-cuad.gif"), loess_anim)
}

knitr::include_graphics(here::here("images", "02_loess-spans-cuad.gif"))
# knitr::include_graphics(here::here("images", "02_loess-spans-cuad.gif"))
```


Expand Down
5 changes: 3 additions & 2 deletions 03-pruebas-de-hipotesis.Rmd
Original file line number Diff line number Diff line change
Expand Up @@ -493,15 +493,16 @@ La hipótesis alternativa la denotamos por $H_1$ y representa el supuesto que
está a prueba y para el cual buscamos evidencia en los datos.
```

```{block, type='mathblock'}
```{block2, type='mathblock'}
**Definición.** La hipótesis normalmente se plantea en términos de un parámetro
($\theta\in\mathbb{R}$) o conjunto de parámetros ($\theta\in\mathbb{R}^p$) de la
distribución de interés (por ejemplo media, moda, varianza). Para una hipótesis
nula del estilo $H_0: \theta = \theta_0,$ la hipótesis a contrastar se puede
denominar como:

- *Hipótesis alternativa de una cola* $H_1: \theta \gt \theta_0$
- *Hipótesis alternativa de una cola* $H_1: \theta > \theta_0$
- *Hipótesis alternativa de dos colas* $H_1: \theta \neq \theta_0$

```

En el ejemplo anterior planteamos hipótesis nula (proporciones iguales) e
Expand Down
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