Statistics

Data Collection

# Types of data: qualitative, quantitative (discrete, continuous), primary, secondary

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Types of data: qualitative, quantitative (discrete, continuous), primary, secondary

Types of Data

Qualitative Data

**Qualitative data**refers to non-numerical information that is typically descriptive in nature.- It can take the form of words, pictures, objects, symbols, and other observable characteristics.
- Examples might include colours, tastes, textures, smells, and sounds.
- In a statistical context, it often involves classifying or categorising individuals or items into groups.
- It's often collected through methods like interviews, focus groups, and direct observation.

Quantitative Data

**Quantitative data**is numerical information that can be measured or counted.- It lends itself well to statistical analysis, as you can perform various mathematical and statistical calculations.
- It's usually presented in the form of numbers, percentages, averages, or other statistical measurements.

Discrete Quantitative Data

- With
**discrete quantitative data**, values can only take specific, separate values. - This type of data is countable and often includes things like the number of siblings a person has or the number of cars in a parking lot.

Continuous Quantitative Data

**Continuous quantitative data**can take on any value within a given range.- These values often have a logical order or sequence and can be subdivided into ever-smaller units.
- Examples include height, weight, temperature, and time.

Primary Data

**Primary data**is data that you collect yourself, specifically for the purpose of your investigation.- These collection methods can include surveys, interviews, and direct observations.
- This data is often more reliable and relevant to the study at hand, but it can be time-consuming to collect and process.

Secondary Data

**Secondary data**is data that was collected by someone else and is already publicly available.- This could include government records, research studies, newspaper articles, and web content.
- This kind of data can be very useful in saving time and resources, but you need to be careful to ensure it is reliable, accurate, and relevant to your investigation.