Would you please provide somewhat more detail about the situation involved and resubmit your question.
The answer depends on what sort of variables the data are (qualitative, quantitative-discrete, quantitative-continuous are; the nature of the relationship (if any) between the data sets; how much information you wish the graph to convey and how much you would prefer to describe in the accompanying text.
Qualitative data is information that is not in numerical form.
When the data consist of frequency for a set of qualitative categories, or when there are a small number of discrete quantitative categories or even a set of classes of equal width.
In Quantitative technique, the researcher's aim is to classify data in graphs, tables, or texts (Others use statistics in doing this) The variables needed in the study are carefully designed. In gathering data, a researcher may use questionnaires, interview method, or survey. This technique is effective especially in testing hypotheses.
Kellogg's would use qualitative data to gain insights into consumer preferences, brand perceptions, and motivations behind purchasing behaviors, allowing them to tailor marketing strategies effectively. Quantitative data, on the other hand, provides measurable metrics on sales performance, market trends, and demographics, enabling the company to identify growth opportunities and assess the effectiveness of its campaigns. By integrating both data types, Kellogg's can make informed decisions that enhance product development and strengthen customer engagement.
Numerical data is quantitative data.She performed a quantitative study.Using quantitative and qualitative procedures in a study is called a mixed methods study.
The answer depends on what sort of variables the data are (qualitative, quantitative-discrete, quantitative-continuous are; the nature of the relationship (if any) between the data sets; how much information you wish the graph to convey and how much you would prefer to describe in the accompanying text.
Bar graphs are used when graphing a qualitative independent variable, but a line graph is used when the independent variable is quantitative. Also when you are comparing quantity of objects(bar graph)
Bar graphs are used when graphing a qualitative independent variable, but a line graph is used when the independent variable is quantitative. Also when you are comparing quantity of objects(bar graph)
In general, the two types of data are quantitative and qualitative. Quantitative data is numerical data. For example, there were 58 mg of the solution following the reaction. In social sciences, quantitative data are represented through an analysis of a numerical input collected by means of questionnaires and other facilities. They are generally diagrams and percentages. Qualitative data is not numerical data. For example, the solution turned purple. Case studies for example are known to use qualitative data. Their analysis is through written descriptive texts.
The measures can be either quantitative or qualitative, or a mixture of both.
quatitative observations have to do with QUANTITY and qualitative observations have to do with QUALITY.
Scientists often use quantitative statements because they provide measurable and objective data that can be statistically analyzed, allowing for more precise comparisons and conclusions. Quantitative data reduces ambiguity and subjectivity, making it easier to replicate experiments and validate results. Additionally, numerical data can reveal patterns and relationships that qualitative data might overlook, enhancing the overall robustness of scientific findings.
Qualitative approaches aim to address the 'how' and 'why' of a program and tend to use unstructured methods of data collection to fully explore the topic. Quantitative approaches address the 'what' of the program. They use a systematic standardised approach and employ methods such as surveys.
Qualitative data is information that is not in numerical form.
When the data consist of frequency for a set of qualitative categories, or when there are a small number of discrete quantitative categories or even a set of classes of equal width.
Qualitative observations focus on describing characteristics, qualities, and attributes of the subject being studied, often using words to capture feelings or perceptions. In contrast, quantitative observations involve measurable data, often expressed in numbers, which can be statistically analyzed. Both types of observations are crucial in research, as they provide a comprehensive understanding of the phenomena being studied. By combining qualitative and quantitative data, researchers can gain deeper insights and draw more robust conclusions.