Quantitative data may be used to make a graph or table.
Qualitative is easier to explain with numbers or a written description.
Qualitative and quantitative data are both 2 important types of data. Qualitative data is data based on observation and description. An easy way to remember this, Qualitative ---> QUALity. Examples of qualitative data are when you record colors, smells, textures, etc... Quantitative data is based on numerical values. An easy way to remember this, Quantitative ---> QUANTity. An example of quantitative data are any type of numerical values.
It is NOT so important!Its importance, such as it is, derives from the fact that it is relatively easy to compute and is not affected by outliers. However, it cannot be used for data which are qualitative and, even where it can be used, almost all the information in the data set is discarded which leaves a very low information content.
yJohn Buglear, Senior Lecturer in Statistics and Operational Research, Nottingham Business School, Nottingham Trent University.Quantitative Methods for Business: The A-Z of QM will enable readers to: *Appreciate the significance of quantitative methods for businesses and the study of business *Understand and apply a wide range of quantitative techniques *Select appropriate quantitative techniques for data analysis, problem solving and decision making *Interpret and communicate the results of quantitative analysisAudience:First and second year undergraduate courses in Quantitative Methods.
The inverted pyramid method in journalism is the method in which when writing a story the most important information is at the beginning or top ot the story and the least important information is at the bottom. This methodÊallows the reader toÊget vital information first and the ability to not read all of the less important information and still understand the article.
the more information you have and know, the more power you will have. better to know more important information. Knowledge is power -Francis Bacon
Qualitative and quantitative data are both 2 important types of data. Qualitative data is data based on observation and description. An easy way to remember this, Qualitative ---> QUALity. Examples of qualitative data are when you record colors, smells, textures, etc... Quantitative data is based on numerical values. An easy way to remember this, Quantitative ---> QUANTity. An example of quantitative data are any type of numerical values.
The things with which philosophy deals with are not quantitative. For example the question "why the cosmos exists" cannot be answered in a quantitative way. That is why qualitative thinking is much more important in philosophy.
Scientists often find that quantitative observation is more important than qualitative observation.
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much more quantitative than the qualitative method. those of us who understand basic science and math realize that qualitative measures are usually total BS.
If you mean important, then it's because it can give a range & more varitey of data then just one or the other
One that is interesting to you and can be tested. It is important to get both quantitative and qualitative data. Also the proects that win are original and creative.
The difference between quantitative and qualitative observation is that a quantitative observation deals with numbers and qualitative observation deals with your sense's on like how something looks or the color that it has.
Quantitative management is the use of math to solve problems. It is important to collect information about a problem and solutions to create a useful mathematical model.
qualitative observation is the method of identifing a compound such as salt analysis,etc,. and quantitative is the calculation of the amount of a particular compound in a given sample such as asseys..
Qualitative versus Quantitative has been always fiercely debated in the academic field. It is really what you as the researcher think it is important. There is no right or wrong answer. Until I have taken a qualitative research class at USF I thought that quantitative research is more "scientific" than qualitative research. I thought that qualitative research should be should be done before quantitative research. Well, nothing is sure in this world, and we don't even agree in the notion of objectivity. Since I came to USF I learned to question everything, which I guess it was a good lesson. I was pleasantly surprised by John W. Creswell's book about qualitative research. He also says that qualitative research allows the researcher to study deeply a problem and go beyond the numbers. I started to like qualitative research because it is more flexible, interactive, the research design can be modified and it involves fieldwork (patients should be interviewed in their natural setting). Therefore, a qualitative research can provide a more complex answer to certain problems such as minority and race. For example, can racism be easily answered? No, it calls for a qualitative study because it may involve economical, political, and cultural and gender related problems. I guess journalists mainly use qualitative research if they write a longer and deeper article about topics like race, unemployment, etc. I realize that numbers do not mean always the "whole" picture. I would use qualitative research methods if I want to do a deeper research, if I want to gain a deeper understanding of a problem using multiple views.
gather information means to collect all information and put it in one