Types of Data
1. Discrete Data:
Data collected as integers(whole numbers).
For example: Number of employees in construction companies, Number of cars per
family, etc.
2. Continuous Data:
Data than can have any value within certain limits.
For example: Height of people, daily temperatures, weight of people, cost of material,
labor costs, etc.
3. Raw Data:
In a survey involving the weight(in kg) of first year college students, the following
data was obtained:
60.1, 65.5, 55.0, 58.8, 61.5, 65.9, 56.6, 55.2 and 56.4.
This is an example of raw data, as it is shown in the manner that it was collected.
4. Grouped Data:
Data that are arranged in groups is called grouped data. The number of groups will
depend on the amount of the data.
The following is an example of grouped data:
54.0-56.4, 56.5-58.9, 59.0-61.4, 61.5-63.9, 64.0-66.4
A group is also called a class and each class is specified by two limits, the lower class
limit and the upper class limit.
For the first class: 54.0-56.4
54.0 is the lower limit
56.4 is the upper limit.
