docs: update education/statistics/random-variable
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title: 隨機變數 (Random Variable)
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title: 隨機變數 (Random Variable)
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description:
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description:
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published: true
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published: true
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date: 2025-12-28T19:13:54.913Z
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date: 2025-12-28T19:20:55.599Z
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tags:
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tags:
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editor: ckeditor
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editor: ckeditor
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dateCreated: 2025-12-28T16:41:51.938Z
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dateCreated: 2025-12-28T16:41:51.938Z
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<h2><span style="font-family:Arial, Helvetica, sans-serif;">Discrete</span></h2>
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<h2 id="discrete" class="toc-header"> Discrete</h2>
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<h3><span style="font-family:Arial, Helvetica, sans-serif;">Probability Mass Function (PMF)</span></h3>
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<h3 id="probability-mass-function-pmf" class="toc-header"> Probability Mass Function (PMF)</h3>
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<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>
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<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>
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<p><strong>0 ≤ p<sub>i</sub> ≤ 1 and ∑ p<sub>i</sub> = 1</strong></p>
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<p><strong>0 ≤ p<sub>i</sub> ≤ 1 and ∑ p<sub>i</sub> = 1</strong></p>
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<p><span style="font-family:Arial, Helvetica, sans-serif;">Probability</span><br> $$\leq$$</p>
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<p>Probability<br>
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<p><span style="font-family:Arial, Helvetica, sans-serif;">Expectation</span><br> </p>
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<h3><span style="font-family:Arial, Helvetica, sans-serif;">Cumulative Distribution Function (CDF)</span></h3>
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<p>Expectation</p>
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<p><br> </p>
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<h3 id="cumulative-distribution-function-cdf" class="toc-header"> Cumulative Distribution Function (CDF)</h3>
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<h2><span style="font-family:Arial, Helvetica, sans-serif;">Continuous</span></h2>
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<p></p>
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<h3><span style="font-family:Arial, Helvetica, sans-serif;">Probability Density Function (PDF)</span></h3>
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<h2 id="continuous" class="toc-header"> Continuous</h2>
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<p><span style="font-family:Arial, Helvetica, sans-serif;">Probabilistic properties of a continuous random variable.</span></p>
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<h3 id="probability-density-function-pdf" class="toc-header"> Probability Density Function (PDF)</h3>
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<p> </p>
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<p>Probabilistic properties of a continuous random variable.</p>
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<p><span style="font-family:Arial, Helvetica, sans-serif;">Expectation</span><br> </p>
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<p>Expectation</p>
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<h3><span style="font-family:Arial, Helvetica, sans-serif;">Cumulative Distribution Function (CDF)</span></h3>
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<h3 id="cumulative-distribution-function-cdf-1" class="toc-header"> Cumulative Distribution Function (CDF)</h3>
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<p><br><br><br> </p>
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<p></p>
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<h3><span style="font-family:Arial, Helvetica, sans-serif;">Symmetric</span></h3>
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<h3 id="symmetric" class="toc-header"> Symmetric</h3>
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<p><span style="font-family:Arial, Helvetica, sans-serif;">If there is a point that,</span><br><br><span style="font-family:Arial, Helvetica, sans-serif;">Then,</span><br><br><span style="font-family:Arial, Helvetica, sans-serif;">Is the expectation of this random variable, equal to the point of symmetry.</span></p>
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<p>If there is a point that,</p>
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<h3><span style="font-family:Arial, Helvetica, sans-serif;">Median and Quantiles</span></h3>
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<p>Then,</p>
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<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 p to 0.5.</span><br> </p>
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<p>Is the expectation of this random variable, equal to the point of symmetry.</p>
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<h3><span style="font-family:Arial, Helvetica, sans-serif;">Variance</span></h3>
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<h3 id="median-and-quantiles" class="toc-header"> Median and Quantiles</h3>
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<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>
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<p>The middle value of the random variable.<br>
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<p> </p>
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For median, set p to 0.5.</p>
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<h3 id="variance" class="toc-header"> Variance</h3>
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<p>A positive quantity that measures the spread of the distribution of the random variable about its mean value.<br>
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Larger values of the variance indicate that the distribution is more spread out.</p>
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