FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -For example, categorical predictors include gender, material type, and payment method. Discrete variables are numeric variables that have a countable number of values between any two values. A discrete variable is always numeric. For example, the number of customer complaints or the number of flaws or defects.

Detailed explanation-2: -The most important difference between the terms is that “continuous data” describes the type of information collected or entered into study. In contrast, “categorical data” describes a way of sorting and presenting the information in the report.

Detailed explanation-3: -Categorical variables, aka discrete variables. These come in only a fixed number of values – like dead/alive, obese/overweight/normal/underweight, Apgar score. Continuous variables. These can have any value between a theoretical minimum and maximum, like birth weight, BMI, temperature, neutrophil count.

Detailed explanation-4: -Quantitative variables may be discrete or continuous. Discrete variables can only take on a limited number of values (e.g., only whole numbers) while continuous variables can take on any value and any value between two values (e.g., out to an infinite number of decimal places).