ABSTRACT

In Chapter 3, we have seen that in order to understand the data collected in statistics, the data can be classified and represented graphically. What next? After classifying the data, their central tendency can be studied. Generally in statistics, the observations of the data collected are concentrated around the central value of the data. This tendency of the observations toward the central value is called the central tendency. If this central tendency of the data is quantified or measured, then it can be treated as the representative of the data and can be used for the comparison of the central tendency of the data. For example, if a textile engineer makes 10 count tests on the same yarn, he will get 10 different values. What conclusion should he come to about the count of the yarn? But if all the 10 results are observed carefully, then they will be concentrated around some value that can be measured and can be representative of the 10 results.