FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Quantitative data is data that can be counted or measured in numerical values. The two main types of quantitative data are discrete data and continuous data. Height in feet, age in years, and weight in pounds are examples of quantitative data.

Detailed explanation-2: -Examples of quantitative data include numerical values such as measurements, cost, and weight; examples of qualitative data include descriptions (or labels) of certain attributes, such as “brown eyes” or “vanilla flavored ice cream”.

Detailed explanation-3: -Qualitative data describes qualities or characteristics. It is collected using questionnaires, interviews, or observation, and frequently appears in narrative form. For example, it could be notes taken during a focus group on the quality of the food at Cafe Mac, or responses from an open-ended questionnaire.

Detailed explanation-4: -Quantitative research has two types of data in statistics: discrete and continuous. Discrete data is quantitative data that has fixed numerical values incapable of breaking down into smaller parts. An example of discrete data would be the number of children a person has.