Statistics Data Types PDF
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Uploaded by FieryAlder7088
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Summary
This document describes different types of data, including quantitative data (numerical data measured), qualitative data (categorical data), continuous data (can take any value in a range), discrete data (counts), nominal data (no order), and ordinal data (ordered).
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**Statistics** is the science of collecting, analyzing, interpreting, presenting, and organizing data. **Data Types**: - - - - - - **Examples of Quantitative Data and Qualitative Data** - **Quantitative Data**: - - - - **Qualitative Data**: - - - **Ex...
**Statistics** is the science of collecting, analyzing, interpreting, presenting, and organizing data. **Data Types**: - - - - - - **Examples of Quantitative Data and Qualitative Data** - **Quantitative Data**: - - - - **Qualitative Data**: - - - **Examples of Continuous and Discrete Data** - - - - - - **Number of Students in a Class**: Counts that can only be whole numbers (e.g., 25 students, 30 students). - **Number of Cars in a Parking Lot**: Only whole numbers (e.g., 10 cars, 15 cars). - **Number of Pets Owned**: Count of pets (e.g., 1 dog, 3 cats). **Examples of Nominal and Ordinal Data** - **Nominal Data**: - **Favorite Fruit**: Categories without any order (e.g., apple, banana, orange). - **Types of Pets**: Descriptive categories (e.g., dog, cat, fish). - **Marital Status**: Categories that do not have a ranking (e.g., single, married, divorced). - **Ordinal Data**: - **Education Level**: Categories with a specific order (e.g., high school, bachelor\'s degree, master\'s degree). - **Survey Ratings**: Responses that indicate order (e.g., poor, fair, good, excellent). - **Socioeconomic Status**: Categories that imply a ranking (e.g., low, middle, high).
