Types of Data Flashcards
What is raw data?
Unorganised data
What is qualitative data?
Non-numerical, descriptive data
What is quantitative data?
Numerical data that can be statistically analysed and discrete or continuous.
What is discrete data? (2)
- Data that can only take on certain values e.g. number of people
- Can be put into non-overlapping intervals e.g. 20-29, 30-40
What is continuous data? (2)
- Data that can take on any value e.g. height and weight
2. Must be put into non-overlapping intervals (less than or greater than signs)
What is categorical data?
Data that can be divided into groups based on characteristics e.g race, gender
What is ordinal data?
Data that can be ordered or given numerical rank
What is bivariate data?
Pairs of related data that are dependent on each other e.g. ice cream sales and temperature
What is multivariate data?
Sets of 3 or more related data that are dependent on each other e.g. blood pressure, weight and cholesterol
What is primary data?
Data that is collected firsthand by the researcher for a specific aim
What are the adv/disadvantages of primary data? (4)
- More reliable
- Known collection methods and accuracy
- Time consuming
- Expensive
What is secondary data?
Data that has been collected by someone else for a different aim
What are the adv/disadvantages of secondary data? (4)
- Easy and cheap to obtain
- Data from certain organisations can be more reliable
- Unknown collection methods and accuracy
- May be biased
How do we decide what size intervals to use? (3)
- Narrow intervals for when the data is closer together
- If the intervals are too wide or too narrow, key trends could be hidden
- The minimum age is 0 but the maximum age is unknown, so use an open ended class
