how does it follow that the conditional distribution of $x$ given $t$ does not depend on $theta$? how do we know if a conditional distribution is not conditional why is the underlined statistic true? what statistic indicates a distribution that is continuous? what is the conditional distribution of x, t, and theta? how do you know if a distribution is a continuous variable what are sufficient statistics for a continuous distribution how does it follow that the conditional distribution of $x$ given $t$ do not depend on $ta$? what statistic is used to test hypothesis what statistic is necessary for a continuous distribution which statement implies that the conditional distribution of $x$ given $t$ does not depend on a conditional distribution which statement is true about the conditional distribution of x$ given $t which method is based on the test that indicates sufficient statistics for a continuous distribution? which condition requires sufficient statistics to establish a continuous distribution? what are sufficient statistics for a continuous distribution which of the following describes the concept of sufficient statistics in continuous distribution why is underlined statement true if the conditional distribution is not dependent on t$ what is the statistical statement in t$ conditional distribution? how does it follow that the conditional distribution of $x$ given $t$ do not depend on $theta$? what statistic for a continuous distribution