A set of probability value pi assigned to each of the values taken by the discrete random variables xi.
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and
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Probability
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Expectation
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Cumulative Distribution Function (CDF)
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-
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Continuous
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Probability Density Function (PDF)
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Probabilistic properties of a continuous random variable.
-
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Expectation
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Cumulative Distribution Function (CDF)
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-
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-
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Symmetric
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If there is a point that,
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-Then,
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-Is the expectation of this random variable, equal to the point of symmetry.
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Median and Quantiles
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The middle value of the random variable.
-For median, set p to 0.5.
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Variance
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A positive quantity that measures the spread of the distribution of the random variable about its mean value.
-Larger values of the variance indicate that the distribution is more spread out.
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+## Discrete
+
+### Probability Mass Function (PMF)
+
+A set of probability value **p~i~** assigned to each of the values taken by the discrete random variables **x~i~**.
+
+**0 ≤ p~i~ ≤ 1 and ∑ p~i~ = 1**
+
+Probability
+ $$\\leq$$
+
+Expectation
+
+
+### Cumulative Distribution Function (CDF)
+
+
+
+
+## Continuous
+
+### Probability Density Function (PDF)
+
+Probabilistic properties of a continuous random variable.
+
+Expectation
+
+
+### Cumulative Distribution Function (CDF)
+
+
+
+
+
+
+### Symmetric
+
+If there is a point that,
+
+Then,
+
+Is the expectation of this random variable, equal to the point of symmetry.
+
+### Median and Quantiles
+
+The middle value of the random variable.
+For median, set p to 0.5.
+
+
+### Variance
+
+A positive quantity that measures the spread of the distribution of the random variable about its mean value.
+Larger values of the variance indicate that the distribution is more spread out.
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