diff --git a/content/Week_1_7/WS_1_7_solution.ipynb b/content/Week_1_7/WS_1_7_solution.ipynb
index 1541bf9362c541555004e0d92208e9d9cd1f4aeb..2e4eb5bf87c64534e748b99f2ba4c7efb74fa884 100644
--- a/content/Week_1_7/WS_1_7_solution.ipynb
+++ b/content/Week_1_7/WS_1_7_solution.ipynb
@@ -294,7 +294,7 @@
     "    Fitting by moments a distribution implies equating the moments of the observations to those of the parametric distribution. Applying then the expressions of the mean and variance of the Gumbel distribution we obtain:\n",
     "    \n",
     "$\n",
-    "    \\mathbb{V}ar(X) = \\frac{\\pi^2}{6} \\beta^2 \\to \\beta = \\sqrt{\\frac{6\\mathbb{V}ar(X)}{\\pi^2}}=\\sqrt{\\frac{6 \\cdot 16.797^2}{\\pi^2}}= 13.097\n",
+    "    \\mathbb{V}ar(X) = \\cfrac{\\pi^2}{6} \\beta^2 \\to \\beta = \\sqrt{\\cfrac{6\\mathbb{V}ar(X)}{\\pi^2}}=\\sqrt{\\cfrac{6 \\cdot 16.797^2}{\\pi^2}}= 13.097\n",
     "$\n",
     "\n",
     "$\n",
@@ -360,7 +360,7 @@
     "Note: you can compute the values of the random variable using the inverse of the CDF of the Gumbel distribution:\n",
     "     \n",
     "$\n",
-    "F(x) = e^{-e^{-\\frac{x-\\mu}{\\beta}}} \\to x = -\\beta ln\\left(-lnF(x)\\right) + \\mu\n",
+    "F(x) = e^{\\normalsize -e^{\\normalsize-\\cfrac{x-\\mu}{\\beta}}} \\to x = -\\beta \\ln\\left(-\\ln F\\left(x\\right)\\right) + \\mu\n",
     "$\n",
     "\n",
     "Compare and assess:\n",