For example, the heights of students, the weights of students and so on. 2] ContinuousĪ continuous variable assumes fractional values or its value does not increase in jumps. For example, the number of children in a family can be 2, 3, 4 etc but not 2.5, 3.5 etc. Thus the phenomenon or characteristic, a discrete variable represents should be such that its value cannot be infractions but only in whole numbers. A variable is classified into two: Browse more Topics under Organisation Of DataĪ discrete variable’s value changes only in complete numbers or increases in jumps. In other words, a variable is a characteristic or a phenomenon which is capable of being measured and changes its value over time. Hence, this basis of the arrangement of raw data can vary from purpose to purpose.Ī variable is simply something that can vary with time and we can measure this variation. Note that we can also arrange them according to their heights. Thus, if we arrange the data in the example mentioned in the introduction according to the classes in your school, we will eventually classify the data in form of a statistical series. Series refer to those data which are in some order and sequence. To do so, an investigator has to classify the data in the form of a series. In this way, we effectively convert heterogeneous data into homogeneous data. It is important to realize that organized data facilitates comparison and meaningful conclusions.įurther, to organize the data we need to look for similarities or group the data. Definitely, we need to organize this raw data.
This is because it is similar to a lump of clay with no identity and also of no practical use. Raw data is the unorganized data when we’re done with the collection stage.
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