Update Lecture_17.ipynb

Author: buruzaemon

Lecture_17.ipynb

@@ -88,7 +88,7 @@
     "\n",
     "Let $X$ have MGF $M(t)$.\n",
     "\n",
-    "1. The $n$-th moment $\\mathbb{E}(X^{n})$ is the coeficient of $\\frac{t^{n}}{n!}$  in the Taylor series of $M$, i.e., $M^{n}(0) = \\mathbb{E}(X^{n})$\n",
+    "1. The $n$-th moment $\\mathbb{E}(X^{n})$ is the coefficient of $\\frac{t^{n}}{n!}$  in the Taylor series of $M$, i.e., $M^{n}(0) = \\mathbb{E}(X^{n})$\n",
     "1. MGF determines the distribution, i.e., if $X$ and $Y$ have the same MGF, then they have the same CDF\n",
     "1. sums of random variables (convolutions) are difficult; but if we have MGFs, they are _easy_\n",
     "\n",