Summarizing qualitative and quantitative data | Basic Statistics | Business Statistic

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Summarizing Qualitative and Quantitative Data
Qualitative Data is descriptive and non-numerical (e.g., colors, opinions, emotions). Quantitative Data is numerical and can be measured (e.g., height, weight, income).

Summarizing Qualitative Data
When summarizing qualitative data, the goal is to identify patterns, themes, and commonalities. Here are some common methods:

Coding: Assigning labels or codes to specific phrases or words to categorize the data.
Thematic Analysis: Identifying recurring themes or patterns within the data.
Content Analysis: A systematic analysis of the content of communication.
Narrative Analysis: Examining the stories or narratives within the data.
Example: If you interviewed people about their favorite ice cream flavors, you might identify themes like "sweet," "creamy," and "fruity."
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