Munich dunkel is the maltiest style in the BJCP Dark Lager category. It is a beer full of toasted bread and other malt flavors and aromas from the heavy use of melanoidin-rich Munich malt. Most good examples are balanced nearly even, leaning a little to the sweet side, which hides the restrained hop bitterness.
With a two way data table, two categorical variables can be measured and compared. For example, hair color and gender could be measured for a group of individuals. The categorical variables that would be observed and recorded would be whether the person is male or female and what color his or her hair is.
Analyzing Data: Latent Class and Other Mixture Models. Mixture models are measurement models that use observed variables as indicators of one or more nominal latent variables (i.e. categorical variables).One way to think about mixture models that one is attempting to identify subsets or classes of observations within the observed data.The latent variable (classes) is categorical, but the indicators may be either categorical or continuous.n other words, the estimated probability of a student in class 1 taking honors math is about .89. Above we estimated a specific case of a mixture model, a latent class analysis, in which all of the indicators are categorical, in this example the model contains both categorical and continuous indicators.