If s person is made to undergo a blood test, and it confirms that alcohol percentage is 0. Thus, the major difference between a quantitative and qualitative analysis pertains to numbers and quantities. The names of the two types of analysis are an indicator of the way analysis is conducted.
When the analysis involves measurements and statistics, it is a quantitative analysis. On the other hand, a non numerical analysis that deals with quality for example comparing traits , species, genus, etc. If you have to describe the color of a solution in chemistry lab, you are doing qualitative analysis, whereas if you wish to find out the quantity of solute needed in the solution to turn the color of the solution faint green, you are involved in quantitative analysis.
Definitions of Qualitative and Quantitative Analysis: Qualitative Analysis: Qualitative Analysis is used when the researcher wishes to analyze data that are subjective and not numerical. Quantitative Analysis: In the quantitative analysis the data is analyzed through statistical means. Quantitative analysis and research methods often include:. Qualitative and quantitative analyses work best when blended together, a method appropriately called mixed method analysis.
It begins with qualitative research and analysis to understand the problem broadly, to define what language we should be using. Suppose we sell coffee. We might start a research process by asking people what they like about coffee in general. Once we know what questions to ask, we switch to quantitative methods to help us understand how many people have answers to our questions and what those answers are.
Suppose, in our example, people said that the top reason for why they made the coffee choices they made was because of price. Once we understand the numbers and math, we switch back to qualitative to ask why. Why did we receive the results we did in the quantitative research?
Why did people make the choices they made? We would survey or interview a representative, random sample of our quantitatively-analyzed audience to understand why. What did the people who answered this have in common — were they in similar professions? Perhaps they shared a common gender, geography, or ethnicity.
It is sugar, which is an organic compound. There, liquid iodine is used as the indicator. A spot test can be used to test Take a white tile and put some drops of the samples that are going to be analyzed. Then add iodine solution to each drop of sample.
If the colour of the sample is changed to a brown colour, it indicates the presence of starch. In the flame test, the presence of a certain metal or its ions can be determined. Different metal atoms give different colors to the flame. According to the flame color given when a portion of the sample is burnt in the Bunsen burner, can determine the presence of some metal ions.
Ex: Zinc gives a green flame color. Quantitative analysis in chemistry is a branch of chemistry that deals with the quantities of different components in a sample. The quantity can be given as a mass, volume , concentration , relative abundance , etc. There are chemical or physical methods that are used in the quantitative analysis.
Those are simple examples of using quantitative traits. Each can be expressed as a number. In business, quantitative analytics uses such traits to create datasets that managers can consider when making strategic decisions.
Examples of this could include the following:. In all the above cases, quantitative analysis is used to come up with hard data that leads to better decisions. Because quantitative analysis strips all issues down to facts and figures, all ambiguity of language, interpretation, and emotion is removed. If done properly using strict rules, smaller datasets can be extrapolated to analyze and predict the behavior of larger groups. Businesses use qualitative analytics to assess situations where hard numbers are impossible.
Where quantitative analytics is objective and deductive in assessing a situation, qualitative is subjective and inductive. Simplified versions of qualitative analysis would include answering questions about the softness of a blanket, the aesthetic value of a new piece of clothing or the impact of a Claude Monet painting.
In business, gathering information on this type of subjective material is part of qualitative analytics. It could involve:.
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