Assessing non-parametric or t tests - Essay Example

Also the variance of the population is unknown and to be tested from the sample. Under study consists of small samples and meets other conditions which are suitable to be tested with the t-test (Siegle. D, 2014). In addition to it, if the quality of the product is to be checked and for example the product is a car; ability of cars to absorb accident, then it will be very difficult and costly to handle large sample data. Therefore t-test is the best option to test such type of parameters. Adding further, if any statistics follows t-distribution, t-test has to be applied.

If there is a need to determine that is there any significant difference between the means of two groups, then t-test is used. Now-a-days the development in both the field of computer i.e. in the hardware and software is tremendously going upward (RO, 2014). In fact, there are many computer softwares available in the market which calculates the test statistics which also provide probability of parameters in which anybody is interested. Going through the inference statistics, one assumes that all the dependent variables fit in a normal distribution.

Also probability of a particular outcome can be identifying if there is an existence of normal distribution. Basically the research article under study focused on the relationship marketing among the income level and the banks which were preferred by the customer. The research makes use of the f-test and the t- test. The use of t-test is made in order to find out the noteworthy difference among the demographic variables. Also in the study the customer awareness regarding relationship marketing, occupation, age, religion, gender of the customer has also been taken to find out the significant mean difference.

It means that weather the person working in government organization, male or female, Muslim or Christian, young or aged customers, businessman or private sector customer have same level