diff --git a/education/statistics/random-variable.html b/education/statistics/random-variable.html
index 576aca0..807c3a2 100644
--- a/education/statistics/random-variable.html
+++ b/education/statistics/random-variable.html
@@ -2,79 +2,106 @@
 title: 隨機變數 (Random Variable)
 description: 
 published: true
-date: 2025-12-28T19:33:09.392Z
+date: 2025-12-28T19:36:36.326Z
 tags: 
 editor: ckeditor
 dateCreated: 2025-12-28T16:41:51.938Z
 -->
 
-<h2>General</h2>
-<h3>Symmetric</h3>
-<p>If there is a point that,</p>
+<h2><span style="font-family:Arial, Helvetica, sans-serif;">General</span></h2>
+<h3><span style="font-family:Arial, Helvetica, sans-serif;">Symmetric</span></h3>
+<p><span style="font-family:Arial, Helvetica, sans-serif;">If there is a point that,</span></p>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
-<p>Then,</p>
+<p><span style="font-family:Arial, Helvetica, sans-serif;">Then,</span></p>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
-<p>Is the expectation of this random variable, equal to the point of symmetry.</p>
+<p><span style="font-family:Arial, Helvetica, sans-serif;">Is the expectation of this random variable, equal to the point of symmetry.</span></p>
 <p>&nbsp;</p>
-<h3>Median and Quantiles</h3>
-<p>The middle value of the random variable.<br>For median, set <strong>p</strong> to <strong>0.5</strong>.</p>
+<h3><span style="font-family:Arial, Helvetica, sans-serif;">Median and Quantiles</span></h3>
+<p><span style="font-family:Arial, Helvetica, sans-serif;">The middle value of the random variable.</span><br><span style="font-family:Arial, Helvetica, sans-serif;">For median, set <strong>p</strong> to <strong>0.5</strong>.</span></p>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
 <p>&nbsp;</p>
-<h3>Variance</h3>
-<p>A positive quantity that measures the spread of the distribution of the random variable about its mean value.<br>Larger values of the variance indicate that the distribution is more spread out.</p>
+<h3><span style="font-family:Arial, Helvetica, sans-serif;">Variance</span></h3>
+<p><span style="font-family:Arial, Helvetica, sans-serif;">A positive quantity that measures the spread of the distribution of the random variable about its mean value.</span><br><span style="font-family:Arial, Helvetica, sans-serif;">Larger values of the variance indicate that the distribution is more spread out.</span></p>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
 <p>&nbsp;</p>
-<h2>Discrete</h2>
-<h3>Probability Mass Function (PMF)</h3>
-<p>A set of probability value <strong>p<sub>i</sub></strong> assigned to each of the values taken by the discrete random variables <strong>x<sub>i</sub></strong>.</p>
+<p>&nbsp;</p>
+<figure class="table">
+  <table>
+    <tbody>
+      <tr>
+        <td style="width:300px;">&nbsp;</td>
+        <td style="text-align:center;width:300px;"><span style="font-family:Arial, Helvetica, sans-serif;"><strong>Discrete</strong></span></td>
+        <td style="text-align:center;width:300px;"><span style="font-family:Arial, Helvetica, sans-serif;"><strong>Continuous</strong></span></td>
+      </tr>
+      <tr>
+        <td style="text-align:center;"><span style="font-family:Arial, Helvetica, sans-serif;"><strong>Jointly Distributed</strong></span></td>
+        <td>
+          <figure class="image"><img src="data:image/png;base64,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"></figure>
+          <p><span style="font-family:Arial, Helvetica, sans-serif;">satisfying&nbsp;</span></p>
+          <figure class="image"><img src="data:image/png;base64,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"></figure>
+        </td>
+        <td>&nbsp;</td>
+      </tr>
+      <tr>
+        <td style="text-align:center;"><span style="font-family:Arial, Helvetica, sans-serif;"><strong>Joint Cumulative</strong></span></td>
+        <td>
+          <figure class="image"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAOwAAAAcCAYAAABiQVMNAAAAAXNSR0IArs4c6QAAAAlwSFlzAAASdAAAEnQB3mYfeAAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAtYSURBVHhe7V29cupKEm5cJ/cDkCICL6m36ogH4JqTOOJWkXCTxSG6ARmFLxQZwYHQykioWiIniPUDwA1IWQeG1A/gF/Ds16MfBJbECOTD4SwKsTSa7ulvuvvrHvlLq9Wi83XWwFkDp6GBL6cxzfMszxo4a4A1cAbs2Q7OGjghDZwBewKLVb6+FN3OiK4GU3obtlMnMOXzFPfUQBNrne88U6lRJ6OYuWi12sI/1Bmweyr2Rz12/foktKccWQDr/AzWH6X2o72nPX9LTQe34k7TSK9a7/f39wBtywPtGbBHW5rdL75+vRdFs0qWeKB5++xZd2vs17ijPZynHoQl7i6KRL2X93tD8zxtYoBtlq9Fv9uhEZVo8FCj4REMrHz5JCqjHDUGdXij4UmHjs3rV5G6J6paZ7D+GjCMJ0W7DdBa1feLmz9SvZfpu6E1L1rttkgEsGxcee2JctaACvNhCmCNN7uE7h6+FRBOXIu7ikaLnCUK6flJgrbZLIt+XiPSe1S/IRrOE1LQeZjT0sBvdfquZ8n4o08v09q71mxeeIBtNmHoqSKZUSLBgJbTTe8pPUHRhCcQlJ4fP2yT4cQU4QRkeeotReHtuJ42Uq+6TtXGAHrbmuNqTKMZ4/VbaKTSLIOc0AzCbfZVtaiFDerD+5zfT8tSg2f7QTafPbqbnOEqJMBWT00H7fbwovz71/c/a6OUtayRgT3cA6x0wcueIBiBuSWsp6hcdsOA7N/vYVjLnwKs7oI44QQ2kgqVllNxTGY1TK8yhagUwQRqvNkJ/2a3Go8ARJ163zJghYPNrD0EOWFV5WZJVWykDzdYmzm5spv8O6+j8/uhxspM9fhxRKMrRFFH2gRdXS7kRoXc3uc8YNyp5qAnRvw3HX8bJJOWHVvuTPF3+mrUaGQtiRH7ISRe8MpuAZMVdVslQbeIz+br+GzV78AjRxvWoYay9/M3derpGhndCTzP3qMk9iDrVS+tPSZHAs1GVRgA1uJlRe4UbU+B5BUGmc1A3VEzkDKaZNDmRjp5dMC6FQ3FEYbnsZqMictJ5mxGTwBBCdEApzxxxkn83sw3KukApRda+N6wfHaAvH/e/9PJnclSDiKaI4teRO19E7BSYJjKFjBZJfN0KwUv4GnHMyzs4nAEFOIIEl8v1QF5xy2XdGEYHbo8spclV687EcjSLemZF0G/IkRAkYBdy/hI1+JBMJPMxJv2tOl9VHXGazrpj+lxZFDqHpGTA9KWA9K3+fFX2ZN5ZtLj5MG30XG090S9JcpfMQnPn1vuDF19xR45e6YVijsbgF29SD9AV7CUt51Eh2NY1c3d3W8cXEMsmpyMsQHZu94614BnhnJVwtUy8uQKPBGHiVUQW27Ot5HTBOQsmazcm+gZ0cQxnayt1+p2gELSE0Kmkj/0Xb1QUJQTBrrMtxLphkGdfp2mkk9AzTZGGahZBkjHXeqMTELNzwHpkg4BaVLrHi3zzItMXJtacGqmWKv+DLn3tdOoDZXz2H/mxDvNFikEYmvABnlMzrPutA5dBQHLMSw9BN3ly1fRvR6QqI+JyRFpUDLcqxANBLWgWIB15+bP5Mpd9xqP1GkM5tTojEF8NQWXjfw5Daz+I0GjXQEOtBFyhr1QeiaPsdg5LZm3q+Rynl6rDW/nZ2Ppdytkp5kDpU0rdEZOiGiMKpTH3hjXw6zGmIfB87CgV86DsS4HeNKk1j1yBTyZxzSALUzuUmTkQLrFyK2TlvsgO91tbt4dPg/reExkRFoKK0gksOHaxMUeIe/wLY0QGiHUTVlwzmE8j2lyN6LnxlR5F+RJMLmSTs8loWKHuCMar2prEd28pZYBIGJIvnUrl4RarYL6AGFs0IcRHL3OigR1yo4V15P1EC0AHIE5YdhGuD38OiyeoawmYoM/821AFsHDGkXmG9nDCm6LC5vXLgUlte47vI6T7sAW+s80WnD1wibdVK+k5f5MO838QyfXSNaAnTzKko7fc8hGBAovLagohw3qOgdDNeFlUWIoHFD6CQpxOdxkLxU3b1GZeyL3OHoNKnsd4sncudllNQ6sEfw/xifY2rLBJE0FHLPkCGjSB3g7GpM6ws5h9wNvkusetA6uLRgGpwDxGeHPkpvn+pl26gHWzV/9+RR7nUICdNINKGYyF1RCF8DbIV0AWyGuzGHzr9SYHuZdEwFmyCDxeIH1IDMk3oUdibddi7WJlmw3hRB7TT7tIxODTIK3APBOXZZYA0u8H3hV1t3ecBbKfIYnl2ML1ENXW0ySKShKSVJuUrRTmYaNSh96G7bnt/ovFkBuyU4OG6uU4I7m0s07DMsGFcfWdDj5s/VOLisBreELFoOd/Ywc9jOZdJdwc8NggANRzCZzug9o3Wds8MKMAV7OFOwTQxValAZKzSiq696ep5GKpDmUjzVdlVp1rAGdmw+VWw6jaKcyDSu8MW+gPFXHw7qM722M3UqjK5vRofKDTQIFvXVyB9JqsKQe2gWNPUI2/5huPdjkd9YvRaXbAPET3l0Vx7t9Tg67m0n/oDNnsWcRerXBUCRmRb0U4+YWPLRJZqfvkXLKVqBw4xCnSNKFAqUVc3eVdbcPN2ymYQpTob0cjMrAAffElZuH2GWn/urGrg5ByPrez/8FbOVkXV4C1m6AiHetyY4tEsg3jMyBL1FsR55k57F2yKb189TNgnzy5bOqJ1M03iXMEVUqaPJHY8A8hGhYs7NWbCImnibC795Hr4Tqq9wIUXdDNerD5ZYwzBmXytapgGck0M0GKZeUMDHGUV33mweLqiYS8ID6dKQ9OK2bKrXqGNNO9NYoO11XN3DGeWcJdUXPf4OrRF0+A9h+sXMIp20EyrsH5LknVWX2mVqDqmAXt7uJ7PCS6BVkkFv6uKn3SAfxVEwt0EnHtdT9+o7dhD4XFQrz5CddMmao9Q4OzJtVFBEErD31um4MWBDX3fwX78x8KMCuPi3QOLCuL8saoMw8ZmRU7tCah0YKhZpkkqlA7HWXpcEqNTYb6CI1Lu1Vs1MsmqGikUeriVPmi7NUScod9N6ddsrpmo6TbbsqMG75tFSkbIouvtg5hP9DbOrU+LpvtUivvn5YO7yEGL7wiWlvZiJl4SQsrFLo7uHHcbA3EvBejzPuU2nMiLPQqvceole3GWI0Xtn6ci7WN+hcmVPKy1fHGmIdPf3ynxRzwiRTgdjrLo02oqMr4G8f9RovB3R1maTcYTYRZacyXcvd7jyGurL+TX8Lnb6j53yGaubBx+tYgQJN6PkitjprgCb2+L2mNsD4wEk0PS9Z0coliuXhNTfZ7MH5HZeQFCMFVRD+sPu2GgOOcbb4R8gqO73Q8LAtn6o9/Ig57vOOXXbqpmt6KToedvNXoX8n4JW4++BgwLJADNrpsi4m6N7pUEnEPcAu2V6cRggKkzmXebwVVKc+ySapiIZ27rLJV1DmAcmVPuED7PLkiTwYYFB3UjtqW+U+BqvyjN9oy9kXMYY5vjlpUpQ9qIx9jHvi2KnbL55r7Djd8Z8u/Tn7io9O1HC8g5I7wC5BywBJFxDCxQ9RODyRXVFbl7uoppmSHtP2rOG5L3fZgMjkr00cY80SfSdvghZOSBWLyEedxv5EX3DkwezGCl3McGSsIqOh9bqG2cORpxz6+rh2iiZy+5RbhIOVUcbFPX3tvZCRBVidj7El4mE/S5GyJublbHZ74v/TxSekrCoOUOTVSaRT0s887baDnva6xrVTmb+CcAo75ealdf+ywKtlzx9hOzWjXt6iaaGSp6sGDuPvya6fksy/8lztAzX80YdBYLQoP3NaeURL6JJM+ZnT9RcTWS8/tYf9lRcujmxu8R5gjfPY+d6fSANu/Zw/rMfs8QCHVYKIfP7MaQE9qdxnHvRfdP4HoBS7P0m1rXEAAAAASUVORK5CYII="></figure>
+          <figure class="image"><img src="data:image/png;base64,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"></figure>
+        </td>
+        <td>&nbsp;</td>
+      </tr>
+      <tr>
+        <td style="text-align:center;"><span style="font-family:Arial, Helvetica, sans-serif;"><strong>Marginal Probability Distributions</strong></span></td>
+        <td>
+          <figure class="image"><img src="data:image/png;base64,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"></figure>
+        </td>
+        <td>&nbsp;</td>
+      </tr>
+      <tr>
+        <td>&nbsp;</td>
+        <td>&nbsp;</td>
+        <td>&nbsp;</td>
+      </tr>
+    </tbody>
+  </table>
+</figure>
+<h2><span style="font-family:Arial, Helvetica, sans-serif;">Discrete</span></h2>
+<h3><span style="font-family:Arial, Helvetica, sans-serif;">Probability Mass Function (PMF)</span></h3>
+<p><span style="font-family:Arial, Helvetica, sans-serif;">A set of probability value <strong>p<sub>i</sub></strong> assigned to each of the values taken by the discrete random variables <strong>x<sub>i</sub></strong>.</span></p>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
-<p><br><strong>Probability</strong></p>
+<p><br><span style="font-family:Arial, Helvetica, sans-serif;"><strong>Probability</strong></span></p>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
-<p><br><strong>Expectation</strong></p>
+<p><br><span style="font-family:Arial, Helvetica, sans-serif;"><strong>Expectation</strong></span></p>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
 <p>&nbsp;</p>
-<h3>Cumulative Distribution Function (CDF)</h3>
-<p>A set of probability value <strong>p<sub>i</sub></strong> assigned to each of the values taken by the discrete random variables <strong>x<sub>i</sub></strong>.</p>
+<h3><span style="font-family:Arial, Helvetica, sans-serif;">Cumulative Distribution Function (CDF)</span></h3>
+<p><span style="font-family:Arial, Helvetica, sans-serif;">A set of probability value <strong>p<sub>i</sub></strong> assigned to each of the values taken by the discrete random variables <strong>x<sub>i</sub></strong>.</span></p>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
 <p>&nbsp;</p>
-<h3>Jointly Distributed</h3>
-<figure class="image"><img src="data:image/png;base64,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"></figure>
-<p>satisfying&nbsp;</p>
-<figure class="image"><img src="data:image/png;base64,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"></figure>
-<p>&nbsp;</p>
-<h3><strong>Joint Cumulative</strong></h3>
-<figure class="image"><img src="data:image/png;base64,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"></figure>
-<figure class="image"><img src="data:image/png;base64,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"></figure>
-<p>&nbsp;</p>
-<h3>Marginal Probability Distributions</h3>
-<figure class="image"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAANAAAAA4CAMAAAC7bYapAAAAAXNSR0IArs4c6QAAAIdQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGaQAGa2OgAAOgA6OgBmOjpmOmaQOma2OpDbZgAAZjoAZpDbZrbbZrb/kDoAkGY6kGZmkLbbkLb/kNv/tmYAtmY6tpA6tpBmttvbttv/tv//25A625Bm27Zm27aQ2////7Zm/9uQ/9u2/9vb//+2///bsOZXBgAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAADZ0lEQVRoQ+1af3PbIAw1XrPVXdY5S51tdbZ2dCt27e//+SbAPzAWxiQhZ3rmr94VC70nPUlwiaJ1rQysDDQMMIKu+DFYhnJCPvwZel//IgEDqlJCbvVw5AEDioqEkAcNEQsZUETJKMOKu3A1FEV1RsjH12CLAOI4l9HX9wQo4rVbl1HYAEFGeu0OGxCX0ah2O0EqD18cZUi3T04nuG0+V0bsbu92IOwud/fO38z/AGTk1Hs4A7BuJA4mJchb2m2EtuqhJ3J/lfosRa4yKlIo9WU29IyRT5B4zNoFqCTPa/92lVGRcHqZqPeNf7ylcSXmc7ua3O5rYSPQxFkyawSgOusQUCiWdKMNu2YrHRNeQLnJiLsOweC5U6Ud0RA3Zm0AcFAjnkZ7Bjj17yR+rI8kPrVHwk1CSxazSZEtbwfhmcw+sersZjAGgjK71VcA2rbx/ktsI90Xyf77c50ZKcLNd/yAjLRKZzYpq9z2hyxuiK9TSSSjq32JfVAkW9h5+mWGJSMuTCbVZFEAsTix67zXnEoFBkiG8mRAdTZuRSaTqpx7t+DakVslpPQfGyBRL0XKtRWe2vnqmaHIzD0ySYXMlMKmFIUqfWh7bGMVTfI+uv1f6EZZ1gs16ENA0xpiyDiHmBSuKoWtR1ftQEsVb7jTq4+upWzLAPKMy1uuHSJUpUiy6CahFogaSgfgpV9NNbJnPGTlyzdZE6cTCCh+hRcbOJHHXiwHQKgjI5Pycs4vUIovIl4V1Eg49W9CNs/TEWJJLPBYR598cyBkww8sPkO148MMX3aVSs6xSVEzCT6gCTXdIE3wqnR63FYC2B07O0ID5XUejE0aDHq5PijTeN7mw1xAqIAGA740WWeGif/t6HrBe7Fe8Pq4w7H/fjppKMffFEYmO3FaCtlF/k2lfvg6kiY7Z0YIFxAXlmbS6w3mIiwII0Vi7R3NYbKtLn0ZBIS4XXq9NF+Mp7GA8I4HfeA+hAAhAhpMNhcj7kqGMAFhY92V3Dn7GExA5S7gt264d2PL54vZ2UGYMqDeKFRgp75LeHV2hvF2gB0FKVRAMzCvW1YGPDIQxqjmkYCFm25fQBbupoN7Yf88AQGKv4A4MLK0rTPvt0tz2+iP8QUkGASao1d9AbkGSYG8gMyn4r211UBeQOYGyOUF5D/hGEGnBq6g7AAAAABJRU5ErkJggg=="></figure>
-<p>&nbsp;</p>
-<h2>Contin</h2>
-<figure class="image"><img src="data:image/png;base64,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"></figure>
-<h2>uous</h2>
-<h3>Probability Density Function (PDF)</h3>
-<p>Probabilistic properties of a continuous random variable.</p>
+<h2><span style="font-family:Arial, Helvetica, sans-serif;">Continuous</span></h2>
+<h3><span style="font-family:Arial, Helvetica, sans-serif;">Probability Density Function (PDF)</span></h3>
+<p><span style="font-family:Arial, Helvetica, sans-serif;">Probabilistic properties of a continuous random variable.</span></p>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
 <p>&nbsp;</p>
-<p><strong>Expectation</strong></p>
+<p><span style="font-family:Arial, Helvetica, sans-serif;"><strong>Expectation</strong></span></p>
 <figure class="image"><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKIAAAAuCAMAAACcXjKKAAAAAXNSR0IArs4c6QAAAJNQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGaQAGa2OgAAOgA6OgBmOjpmOmZmOmaQOma2OpDbZgAAZgA6ZjoAZjo6ZpDbZrbbZrb/kDoAkDo6kGY6kGZmkLbbkNvbkNv/tmYAtmY6tpA6trZmttvbttv/tv//25A625Bm27Zm27aQ2////7Zm/9uQ/9u2/9vb//+2///b6zRkPgAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAADHUlEQVRYR+1Z23KbMBBFbtyYtI1NSWOaXkxbR24DVPz/13VXEtIKEJaZKZAZ68EZWHT2aO+QKLquqwVGWOAUs7cvI/ZNtyXfvvDNdOpGaCrvvo/YNemWw8KdHEUi2U1qkRHKyng/YtekWwq2eIp8tfxsWTzFOnvzPGlgXa5MJFeKl1utvaOMAyt39XRP+zh//+tC5S2AKAqFOEOxemBsg9SKu0eXUpVuyY2yO4mIhKmlIkkDwINsA/0Cf10I74mLwSGnjHdRjt2np3q6bQmfbK0yQQfVmXSTASjYLVwrtWGdrYDTeJeG92AVtFz1NKkyltAcuVsydYZ39WDgQPho8CGKWgmo6SueSplePcqo5QkAB8fztap0DsQoij90czTWdFEocd7NOiKmABAShSl0Ib2tbcWcwQHrDK2GkY1RjW7S9iJSG1+YUh9S+QSVy6ZQPcj2agCk5W7shEoszXV24R8nrg/u5ekRDll/1m37oE/b5IIrhTPITIoh5bmEceQqoxWCk0ycDC49Wdbxd4siHvI217OPObsFIlKtWMi8bUKRyOWmQpmfMilWKo06Al8sdihGB9YUPANMNFipVqxsgjkgl5V7jAXvIY1z2ub1cOxStLlpYplQpJmLt9UYYtPBygkRYkWR7GmRJci+WKyz9kQrUnPHKLHRTqSqHCs/G01WrgRR+Q7NawBECt7XIjRawEDdpZh/a8qdRbJGslL0LuS9fKh+at4urFyxrlQtaAD06HcwZTag6HQoQi8A43GML+oEjUmkuu6C0mP95Sfb/8EItvIq1TVEpZ6iIjK2guvfMVsf5e2Q0q0qoFl89Qmp4a/jBOUoR9pkcZmy+yP4dwuVh+52Y58WRiIJaYAi8b8XWHd4xgg66niy0dzuDTqRBEAMDN0kqNGkw8PYOYY9ABCozjzngxig2Irkv7kz0p4uHmlbANCLwiC8E61Ibr6eN80UTwS/F0xBpl+HmQjno3BOc+EOOucen0Me0IDmoEV1BjSguSnScWRuLh79y/9EW2e7hdrO0HoFn+IX/s+MOtuLj8v+Qgsvkev/xvAfK1hOUEX0emwAAAAASUVORK5CYII="></figure>
 <p>&nbsp;</p>
-<h3>Cumulative Distribution Function (CDF)</h3>
-<p>Probabilistic properties of a continuous random variable.</p>
+<h3><span style="font-family:Arial, Helvetica, sans-serif;">Cumulative Distribution Function (CDF)</span></h3>
+<p><span style="font-family:Arial, Helvetica, sans-serif;">Probabilistic properties of a continuous random variable.</span></p>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
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"></figure>
 <p>&nbsp;</p>
-<h3>Jointly Distributed</h3>
+<h3><span style="font-family:Arial, Helvetica, sans-serif;">Jointly Distributed</span></h3>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
-<p>satisfying&nbsp;</p>
+<p><span style="font-family:Arial, Helvetica, sans-serif;">satisfying&nbsp;</span></p>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
 <p>&nbsp;</p>
-<h3><strong>Joint Cumulative</strong></h3>
+<h3><span style="font-family:Arial, Helvetica, sans-serif;">Joint Cumulative</span></h3>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
 <p>&nbsp;</p>
-<h3>Marginal Probability Distributions</h3>
+<h3><span style="font-family:Arial, Helvetica, sans-serif;">Marginal Probability Distributions</span></h3>
 <figure class="image"><img src="data:image/png;base64,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"></figure>
 <p>&nbsp;</p>
 <p>&nbsp;</p>