BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Depends on question types: Bias in results is dependent on the question types included to collect quantitative data. The researcher’s knowledge of questions and the objective of research are exceedingly important while collecting 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: -Quantitative research measures attitudes, behaviours, opinions and other variables to support or reject a premise. This is done by collecting numerical data, which is easily quantifiable to identify “statistical significance”.

Detailed explanation-4: -“Qualitative research relies more on the experience and judgment of the researcher. Also, the type of data collected is subjective and unique to the person or situation. So it is much harder to avoid bias than in quantitative research.”

Detailed explanation-5: -There are three types of quantitative data, and each carries valuable information: discrete, continuous, and interval (as compared to ratio) data.