parameters: (self, z_critical_value)
return_statement: return (
              self.p_estimate(z_critical_value=z_critical_value)
              .value_with_interval(z_critical_value, estimated_value=self.p_estimate().value)
          )
docstring: Returns an ValueWithInterval with a MLE value and upper/lower bounds from the Agresti-Coull
          interval.
docstring_summary: Returns an ValueWithInterval with a MLE value and upper/lower bounds from the Agresti-Coull
          interval.
docstring_tokens: Returns an ValueWithInterval with a MLE value and upper / lower bounds from the Agresti - Coull interval .
function: def mixed_estimate(self, z_critical_value):
          """
          Returns an ValueWithInterval with a MLE value and upper/lower bounds from the Agresti-Coull
          interval.
          """
          return (
              self.p_estimate(z_critical_value=z_critical_value)
              .value_with_interval(z_critical_value, estimated_value=self.p_estimate().value)
          )
function_tokens: def mixed_estimate ( self , z_critical_value ) : return ( self . p_estimate ( z_critical_value = z_critical_value ) . value_with_interval ( z_critical_value , estimated_value = self . p_estimate ( ) . value ) )