<jupyter_start><jupyter_text>[](https://mybinder.org/v2/gh/NumEconCopenhagen/NumEconNotebooks/master?urlpath=lab/tree/probability_theory/02_Conditional_probability.ipynb)  Setup<jupyter_code>%matplotlib inline
%load_ext autoreload
%autoreload 2

import numecon.probability_theory.conditional_probability as conditional_probability<jupyter_output><empty_output><jupyter_text>Bivariate normal variables Let $X_1$ and $X_2$ be jointly normal variables with means $\mu_1$ and $\mu_2$, standard deviations $\sigma_1$ and $\sigma_2$, and correlation $\rho$.<jupyter_code>conditional_probability.bivariate_normal()<jupyter_output><empty_output><jupyter_text>Set $\mu_1 = \mu_2 = 0$ and $\sigma_0 = \sigma_1 = 1$.<jupyter_code>conditional_probability.bivariate_normal_standard()<jupyter_output><empty_output>
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