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.
+
Independent random variables have a covariance of zero.
+
+
| Continuous | ||
| Probability A set of probability value pi assigned to each of the values taken by the discrete random variables xi. |
+
+ Probability +A set of probability value pi assigned to each of the values taken by the discrete random variables xi. + |
Probability Mass Function (PMF)  |
| Cumulative A set of probability value pi assigned to each of the values taken by the discrete random variables xi. |
+
+ Cumulative +A set of probability value pi assigned to each of the values taken by the discrete random variables xi. + |
  |
| Marginal Probability Obtained by summing or integrating the joint probability distribution over the values of the other random variable. |
+
+ Marginal Probability +Obtained by summing or integrating the joint probability distribution over the values of the other random variable. + |
 |
@@ -97,7 +113,10 @@ dateCreated: 2025-12-28T16:41:51.938Z
| Conditional Probability The probabilistic properties of the random variable X under the knowledge provided by the value of Y. |
+
+ Conditional Probability +The probabilistic properties of the random variable X under the knowledge provided by the value of Y. + |
 |
@@ -105,6 +124,20 @@ dateCreated: 2025-12-28T16:41:51.938Z
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+ Independence +Two random variables X and Y are said to be independent if: + |
+
+  for all values i of X and j of Y. + |
+
+  for all X and Y. + |
+
