Numerical data is quantitative
- e.g. cost of a shirt
Non-numerical data is qualitative
- e.g. the colour of a shirt
Example 1,
Qualitative:
- blue/grey color
- texture shows brush strokes of oil paint
- peaceful scene of the country
Quantitative:
- weighs 9 pounds
- cost $500
- width & height 13.33 x 8.33"
Example 2,
Qualitative:
- frothy appearance
- white cup
- strong taste
Quantitative:
- serving up 5 inches in height
- 12 ounces of latte
- cost $4.50
Discrete and Continuous
Discrete data can be counted. They can take particular values.
- e.g. number of children, number of trees in a garden
Continuous data results when measuring things like length, time and mass. It cannot be measured exactly.
- e.g the time taken to run 100m. It could be 9s or 9.8s or 9.81s. It can also be measured more accurately
Example 1,
a) The number of people sleeping in Biology class
Answer: Discrete
b) The shoe sizes of the British women's hockey team
Answer: Continuous
Example 2,
a) The height of the Chinese basketball team
Answer: Continuous
b) The number of languages of a person speaks
Answer: Discrete
Primary and Secondary data
Primary Data
Data that is collected for a specific purpose. Basically data collected in raw form directly from a source for a specific purpose. e.g. jotting down important points during a lecture, interviewing and etc.
Secondary Data
Data collected from sources that have already collected it. It is second hand or re-used data that is collected from primary data. e.g. data collection from books and newspaper.
Example 1,
a) Data collected by a student for his/her thesis or research project.
Answer: Primary data
b) Census data being used to analyze the impact of education on career choice and earning.
Answer: Secondary data
Loving this simple notes which is easy to read and understand,keep up for your upcoming work and good luck :))
ReplyDelete