Update quatifying_grain_size_pops.ipynb

DOCS/quatifying_grain_size_pops.ipynb

@@ -1132,7 +1132,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The Shapiro-Wilk test returns two different values, the test statistic and the p-value. This test considers the distribution to be lognormally distributed when the p-value is greater than 0.05. The q-q plot is a visual test that when the points fall right onto the reference line it means that the grain size values are lognormally distributed. The q-q plot has the advantage over the Shapiro-Wilk test that it shows where the distribution deviates from lognormality. \n",
+    "The Shapiro-Wilk test returns two different values, the test statistic and the p-value. This test considers the distribution to be lognormally distributed when the p-value is greater than 0.05. The q-q plot is a visual test that when the points fall right onto the reference line it means that the grain size values are lognormally distributed. The q-q plot has the advantage over the Shapiro-Wilk test that it shows where the distribution deviates from lognormality, which in this case points that deviations are in the tails. \n",
     "\n",
     "> 👉 To know more about the q-q plot see https://serialmentor.com/dataviz/\n",
     "\n",