Open Access Open Access  Restricted Access Subscription Access

Alternate to Traditional Goodness of Fit Test with Illustration Using Service Duration to Patients in Hospitals

Ramalingam Shanmugam


Often, healthcare administrators seek evidence in data to configure improvements in healthcare services to patients. For this purpose, the underlying probability pattern of the data needs to be identified. The traditional chi-squared goodness of fit test could be used but it requires a minimum of at least five frequencies in each group. Such a requirement is not met in an analysis a patient’s data analysis in healthcare studies. This necessitates a development of an alternate goodness of fit test and it is done in this article based on relationship between the sample dispersion and mean. There are advantages in the new approach of this article and they are articulated with a demonstration using the duration time (in minutes) spent by nurses in various healthcare activities in a hospital or clinic.


Dispersion-mean relationship, p-value, statistical power, Poisson, Inverse Binomial, Exponential and Inverse Gaussian distribution.

Full Text:


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.