is age quantitative or qualitative data?
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In our medical example, age is an example of a quantitative variable because it can take on multiple numerical values. It also makes sense to think about it in numerical form; that is, a person can be 18 years old or 80 years old. Weight and height are also examples of quantitative variables.
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Qualitative v. There are two general types of data. Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. Some examples of quantitative data are your height, your shoe size, and the length of your fingernails.
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There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous.
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This quantitative data tends to be more concrete and precise (e.g. traffic, number of clicks, behaviour). It therefore involves numerical results. Alternatively, the qualitative data is more descriptive and explanatory (e.g. open comments, suggestions, complaints).
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Quantitative data is numerical data, whereas qualitative data has no numbers attached to it. The gender of respondents in a study, dividing light bulbs into categories like "very bright," "somewhat bright" and "dim," or the type of pizza a customer prefers are all examples of qualitative data.
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Quantitative data can be counted, measured, and expressed using numbers. Qualitative data is descriptive and conceptual. Qualitative data can be categorized based on traits and characteristics. Now that we got the differences out of the way, let's dive into each type of data using real-world examples.
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Gender and race are the two other categorical variables in our medical records example. ... In our medical example, age is an example of a quantitative variable because it can take on multiple numerical values. It also makes sense to think about it in numerical form; that is, a person can be 18 years old or 80 years old.
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Qualitative or categorical data have no logical order, and can't be translated into a numerical value. ... Quantitative or numerical data are numbers, and that way they 'impose' an order. Examples are age, height, weight.
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At the highest level, two kinds of data exist: quantitative and qualitative. Quantitative data deals with numbers and things you can measure objectively: dimensions such as height, width, and length. ... But this is just the highest level of data: there are also different types of quantitative and qualitative data.
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Simply put, quantitative data gets you the numbers to prove the broad general points of your research. Qualitative data brings you the details and the depth to understand their full implications. To get the best results from these methods in your surveys, it's important that you understand the differences between them.
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Quantitative data usually consists of factual information that can be counted and used in fieldwork. Qualitative data is more opinion-based, but is still useful for geographical investigations.
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Qualitative vs quantitative data collection methods In general, questionnaires, surveys, and documents and records are quantitative, while interviews, focus groups, observations, and oral histories are qualitative. There can also be crossover between the two methods.
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Quantitative data is information about quantities, and therefore numbers, and qualitative data is descriptive, and regards phenomenon which can be observed but not measured, such as language.
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Qualitative (categorical) data deals with descriptions with words, such as gender or nationality. Paired and unpaired t-tests and z-tests are just some of the statistical tests that can be used to test quantitative data.
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The aim of qualitative analysis is a complete detailed description. In quantitative research we classify features, count them, and construct statistical models in an attempt to explain what is observed. ... Quantitative data is more efficient, able to test hypotheses, but may miss contextual data.
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Level 5-6 Data Handling - Quantitative Data. When handling data in KS3 Maths you'll come across two distinct types - quantitative and qualitative. Qualitative data refers to things with no numerical value, such as colours, gender, favourite films etc.
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Quantitative: Numerical or statistical information (data), which often comes from surveys, surveillance or from administration records. ... Qualitative evidence provides richer, deeper and broader information based on a few individuals or case examples.