Explaining quantitatively means using numerical or mathematical data to describe and support a concept or phenomenon. It involves using precise measurements, calculations, and statistical analysis to provide a quantitative understanding of a topic.
Quantitative explanation focuses on numerical data and uses mathematical models and equations to describe a concept, while qualitative explanation uses words and descriptions to convey an understanding of a topic. Quantitative explanation is more precise and objective, while qualitative explanation is more subjective and open to interpretation.
Quantitative explanation is commonly used in many scientific fields, such as physics, chemistry, biology, and economics. Examples include using mathematical equations to describe the motion of objects, calculating the concentration of a substance in a solution, and analyzing data from experiments to support a hypothesis.
Scientists ensure the validity of their quantitative explanations by following the scientific method, which involves making observations, forming a hypothesis, designing and conducting experiments, and analyzing data. They also use statistical analysis to determine the significance of their results and replicate experiments to confirm their findings.
Yes, quantitative explanation can be used in various fields besides science, such as business, finance, and social sciences. In these fields, quantitative analysis is often used to make informed decisions, forecast trends, and evaluate the effectiveness of strategies. Examples include using financial ratios to analyze a company's performance, conducting surveys and analyzing data to understand consumer behavior, and using statistical methods to study social phenomena.