MANAGEMENT

Detailed explanation-1: -Quantitative data is the value of data in the form of counts or numbers where each data set has a unique numerical value. This data is any quantifiable information that researchers can use for mathematical calculations and statistical analysis to make real-life decisions based on these mathematical derivations.

Detailed explanation-2: -Quantitative data are used when a researcher is trying to quantify a problem, or address the “what” or “how many” aspects of a research question. It is data that can either be counted or compared on a numeric scale.

Detailed explanation-3: -Discrete data is information that is collected and can be counted. This type of data only has a certain number of values. Typically, it involves integers-whole numbers, rather than fractions.

Detailed explanation-4: -Qualitative data is descriptive, expressed in terms of feelings rather than numerical values. Qualitative data analysis cannot be counted or measured because it describes the data. It refers to the words or labels used to describe certain characteristics or traits.

Detailed explanation-5: -Quantitative data is the type of data whose value is measured in the form of numbers or counts, with a unique numerical value associated with each data set. Also known as numerical data, quantitative data further describes numeric variables (e.g. How many?