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Distinguish between quantitative data and qualitative data with examples?
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Quantitative Data vs Qualitative Data


Quantitative Data


Quantitative data refers to data that can be measured and expressed numerically. It is objective and can be analyzed using mathematical and statistical techniques. Examples of quantitative data include:



  • Height

  • Weight

  • Age

  • Income

  • Test scores



Quantitative data is often collected through surveys, questionnaires, and experiments. It is used to make predictions, test hypotheses, and identify patterns in data.


Qualitative Data


Qualitative data refers to data that cannot be measured numerically. It is subjective and is often gathered through observation and interviews. Examples of qualitative data include:



  • Opinions

  • Feelings

  • Emotions

  • Perceptions

  • Personal experiences



Qualitative data is used to gain a deeper understanding of a topic or phenomenon. It is often used in social science research, such as anthropology and sociology.


Differences between Quantitative and Qualitative Data


The main differences between quantitative and qualitative data are:



  • Quantitative data is numerical, while qualitative data is non-numerical.

  • Quantitative data is objective, while qualitative data is subjective.

  • Quantitative data can be analyzed using mathematical and statistical techniques, while qualitative data is analyzed through methods such as coding and categorization.

  • Quantitative data is often collected through surveys and experiments, while qualitative data is gathered through observation and interviews.

  • Quantitative data is used to make predictions and identify patterns, while qualitative data is used to gain a deeper understanding of a phenomenon.

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Distinguish between quantitative data and qualitative data with examples?
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