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.