T-test is one of the methods of statistical research that is used to find out whether there is any substantial deviation between the means of two different groups. One can assume the independent variable to fit in a normal distribution in the inferential statistics. One can also identify the probability of the results, when there is an existence of the normal distribution. After the data are collected, one can use the t-test to compare the statistical values in the table.
T-test plays an important role in research analysis, where one can find the differences between the groups. One can easily check whether the two sets are different or same. A typical way of applying t-test includes – normal distribution and the equality of the variances.
There are two types of t-test. One is the independent measures and the second is the matched pair t-test. In independent t-test the variable are not matches, whereas, in matched pair t-test the variables appear in pairs. The t-test can compare the sample values against a specific figure of values. T-test is a basic test and has a great importance in research analysis. It is limited to two groups. In case of multiple groups, one needs to compare each and every pair of the group. For instance – if there are 4 groups namely – A, B, C, D, then there would be four tests (AB, BC, CD, DA). The basic principle of t-test is to test the hypothesis, which means the reality between two groups. T=test is the commonly used statistical data analysis method that does hypothesis testing of the data. There are various kinds of t-tests and commonest of all the t-tests are the ‘two-sample test’ which is also known as ‘independent sample test’ or ‘student’s t-test’. Using the t-test, students can predict with confidence that the difference between the variables of the two groups is too great and some difference also exists in the group from which the variables are drawn.
Therefore, a few factors that decide whether the difference between the groups is considered as significant or not can be explained as – how big is the difference between the two groups, how much overlap is there between the groups, how many subjects are there, what is the level of alpha that is being used for t-test, is the groups tested for directional as well as non-directional hypothesis etc. Based on the above factors, one can differentiate between two groups.
Arvind Jajoo
2013006
