FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -A discrete quantitative variable is one that can only take specific numeric values (rather than any value in an interval), but those numeric values have a clear quantitative interpretation. Examples of discrete quantitative variables are number of needle punctures, number of pregnancies and number of hospitalizations.

Detailed explanation-2: -Discrete data are a type of quantitative data that can take only fixed values. They are always numerical. These are data that can be counted, but not measured.

Detailed explanation-3: -A continuous data set is a quantitative data set representing a scale of measurement that can consist of numbers other than whole numbers, like decimals and fractions. Continuous data sets would consist of values like height, weight, length, temperature, and other measurements like that.

Detailed explanation-4: -There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous. Discrete data is a count that can’t be made more precise. Typically it involves integers.

Detailed explanation-5: -Discrete data can also be qualitative. The nationality you select on a form is a piece of discrete data.