Testing math renderibg with markdown

README.md

+In this project, we gather reproduction attempts from the Challenger
+study. In particular, we try to reperform some of the analysis provided
+in *Risk Analysis of the Space Shuttle: Pre-Challenger Prediction of
+Failure* by *Siddhartha R. Dalal, Edward B. Fowlkes, Bruce Hoadley*
+published in *Journal of the American Statistical Association*, Vol. 84,
+No. 408 (Dec., 1989), pp. 945-957 and available at
+[here](https://studies2.hec.fr/jahia/webdav/site/hec/shared/sites/czellarv/acces_anonyme/OringJASA_1989.pdf)
+(here is [the official JASA
+webpage](http://www.jstor.org/stable/2290069)).
+
+On the fourth page of this article, they indicate that the maximum
+likelihood estimates of the logistic regression using only temperature
+are: $`\hat{\alpha}=5.085`$ and $`\hat{\beta}=-0.1156`$ and their
+asymptotic standard errors are $`s_{\hat{\alpha}}=3.052`$ and
+$s_{\hat{\beta}}=0.047`$. The Goodness of fit indicated for this model
+was $`G^{2}=18.086`$ with 21 degrees of freedom. Our goal is to
+reproduce the computation behind these values and the Figure 4 of this
+article, possibly in a nicer looking way.
+
+<div class="CENTER">
+
+**[Here is our successful replication of Dalal et al. results using
+R](challenger.pdf)**.
+
+</div>
+
+1.  Try to **replicate the computation** from Dalal et al. In case it
+    helps, we provide you with two implementations of this case study
+    but we encourage you to **reimplement them by yourself** using both
+    your favourite language and an other language you do not know yet.
+    -   A [Jupyter Python3 notebook](src/Python3/challenger.ipynb)
+    -   An [Rmarkdown document](src/R/challenger.Rmd)
+2.  Then **update the [meta-study result table available
+    here](results.org) with your own results**.
+