Quantitative variables take the form of numerical figures. Qualitative variables describe data by placing them into broad categories. For example, the number of units that your business sells over a ...

Pre-analytic variables, specifically cold ischemic time, have been implicated as key variables in the measurement of proteins by immunohistochemistry. To determine the significance and magnitude of ...

A novel approach based on latent variable modelling is presented for the analysis of multivariate quantitative and qualitative trait loci. The approach is general in the sense that it enables the ...

A number of special representations are considered for the joint distribution of qualitative, mostly binary, and quantitative variables. In addition to the conditional Gaussian models and to ...

Once the ranks for the two variables are found, we apply the formula for the correlation to the ranks as follows: Both Spearman’s rank and Pearson’s correlation tests share the purpose of assessing ...

Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a number of ways, which depends on the type of variable and the uses ...

This is a preview. Log in through your library . Abstract Whereas variation in pronghorn (Antilocapra americana) spatial organization is well documented, underlying ecological or physiological ...