what are the consequence of modeling that data as continuous? what is the consequences of modeling continuous data by using the beta distribution? is beta distributed on discrete data why use beta distribution for continuous data what is the consequence of the beta distribution? what is the consequence of modeling that data as continuous, ie, as if $y in[0,0.1]$, by using the beta distribution? what is the definition of beta distribution on the math what is a beta distribution what is the consequences of modeling that data as continuous, ie, as if $y in what is the consequence of modeling that data as continuous, i.e., as if $y in 0,0.1,ldots,1$ when to model data using beta distribution what is the beta distribution of a data set? what is a beta distribution on an integer what is beta distribution which distributions use the beta data to predict the distributions of data what is the distribution of a beta distribution on a continuous data set which of these are the consequences of using the beta distribution on discrete data? what is beta distribution of data what is the consequence of modelling in discrete data what is the beta distribution and why should it be used