RESEARCH METHODOLOGY

Detailed explanation-1: -Quantitative data are any pieces of information that can be displayed using numbers. Populations, distances, prices, and other measurements are common forms of quantitative data.

Detailed explanation-2: -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. Qualitative data is descriptive data that is not expressed numerically.

Detailed explanation-3: -Knowing what type of quantitative data-also called numerical data-you’re working with helps teams apply the correct type of statistical analysis. Since quantitative data is statistically analyzed and mathematical in nature, research can be extremely detailed.

Detailed explanation-4: -Quantitative data is, quite simply, information that can be quantified. It can be counted or measured, and given a numerical value-such as length in centimeters or revenue in dollars. Quantitative data tends to be structured in nature and is suitable for statistical analysis.

Detailed explanation-5: -Quantitative data is numerical. It’s used to define information that can be counted. Some examples of quantitative data include distance, speed, height, length and weight. It’s easy to remember the difference between qualitative and quantitative data, as one refers to qualities, and the other refers to quantities.