# Classification of data

### Classification of data

#### Lessons

2 types of data: Qualitative data & Quantitative Data
• Qualitative data:
- Categorical and non-numerical
- Mathematical operations are meaningless
• Quantitative Data:
- numerical
- Mathematical operations are meaningful
- 2 types: Discrete data & Continuous Data

4 levels of measurement: Nominal, Ordinal, interval and, ratio
• Introduction
Quantitative Data VS. Qualitative Data
What are quantitative and qualitative data?

• 1.
Quantitative Data VS. Qualitative Data
Determine which of the following data is quantitative or qualitative.
i) the marks that students get in a test
ii) the genders of newborn babies
iii) the area codes in phone numbers
iv) the heights of buildings

• 2.
Characteristics of Quantitative Data
Determine which of the following quantitative data is discrete or continuous.
i) the number of customers visiting a store over a weekend
ii) the amount of water consumed by a country over the past 10 years
iii) the outcomes of rolling a 6-sided die ten times
iv) the heights of trees in a rainforest
v) students’ shoe sizes in a class

• 3.
Levels of Measurement
Define the levels of measurement below.
i) nominal
ii) ordinal
iii) interval
iv) ratio

• 4.
Identify the level of measurement used in the following scenarios (nominal, ordinal, interval or ratio):
i) A research on the causes of deaths in a country
ii) A research that wants to find out the relationship between the amount of time students spend on preparing for the exam and the marks they get in it.
iii) A survey tries to find out how people rank the importance of: safety, price, speed, and comfort, when they are buying cars.
iv) A research on how humidity in the air changes over the year in a city