An Introduction To Goodness Of Fit

What is Goodness of Fit?

In statistics Goodness of Fits means that how a data is accurate to fit for a set of observations. This particular procedure generally means that how accurately a measurement fit into the specially summarized discrepancy between the surveyed and observed value and the value that is expected in the model question. This special concept is popularly in use with the Statistical Hypothesis testing.

Applications

Goodness of Fit is largely in use in the field of Statistics. Students of the Graduate, Post Graduate or Research levels use this concept to analyze their data. The key use of this analysis is mainly found in the problem of analysis of applied mathematical problems. Students who want to deal with the experimental data, generally use this procedure to analyze their data. Be it an application based research work or any specialization of research works, Goodness of Fit is the ultimate solution for the students.

Uses

The use of Goodness of Fit is popular among the commercial as well as in the academic background, it helps the experts to find a different between two different data. The logical way of explaining the data makes this statistical analysis to get a favorable position in the data analysis field. Here are the primary conditions, which are responsible for using the Goodness of Fit.

• A situation where sampling process is based in simple random sampling
• The rate of population is 10 times greater as the sample
• The study of variable when comes under a category
• When the expected value of a number of the sample observations in each level of the variable appears for the five times.

The use of the Goodness of Fit comes into condition when the analyzer has one nominal variable with a couple of values. Generally, with this method the comparison is done between the observed data and expected data. It can be described as a theoretical part, which is generally done before the collection of the data.

The Goodness of Fit can be done for the multinomial tests when the researcher or analyzer has a nominal variable and more than two values.

Conclusion

The Goodness of Fit plays an important role in the field of analyzing a data. Through this process numerous mathematical data analysis is done. For this reason, the commercial experts and academic experts prefer to use this for solving complicated problems. The test of independence of data is tested with the help of the Goodness of Fit. The special trick of finding the relation between the expected data and collected data after observations makes this process a helpful one. This special type of data analysis covers a large part of the commercial as well as the academic field. Today research based mathematical issues are solved with the help of this data analyzing system.

This article has been compiled by Evelyn, who is a writer on various academic topics.