In addition, the overall model explained further that 74.6% of the sample was classified correctly.
The sample was classified in three energy demand categorical variables (Low, Medium, High) considering different geometrical and physical attributes.
Mean BMI for this sample was classified as overweight; however, other metabolic parameters (blood lipids and glucose, and resting blood pressure) were in normal ranges for this age group.
From the results of the Atterberg limits tests, seven samples were classified as inorganic clays of high plasticity and one sample was classified as inorganic clays of medium plasticity.
Results indicated that 8.2% of the sample was classified as having both Type 2 DM and BED concurrently.
A sample was classified as quantifiable if two or more replicates were above the limits of detection (LOD).
The sample was classified into fodder producers and non-producers based on the question whether the respondent was producing fodder or not.
The total farmer sample was classified into three groups depending on the reported number of alternative buyers (one, two, or three or more), and the response distributions of membership benefits were tested with Fisher's exact test.
Water hardness results indicated that 15.38% of the total water sample was classified suitable for irrational use, whereas about 84.61% was classified as unsuitable water class for irrigation use (Richards 1954).
In addition, nearly 90% of the sample was classified identically as at risk or not at risk for depression using observed score cut points from the short and long forms.When used appropriately, IRT can be a powerful tool for questionnaire development, evaluation, and refinement, resulting in precise, valid, and relatively brief instruments that minimize response burden.
This sample was classified as negative.
