1) A T-test is used for comparing the mean of two given samples. Like a Z-test, a T-test also assumes a normal distribution of the sample (Gau, 2018). The T-test is necessary for those situations, when we are completely/ partially unaware of the population parameters, such as the population mean and the subsequent standard deviations. Dependent and independent variables are the different types of variables appropriate for conducting a T-test (Gau, 2018). Depending variables are continuous. An ideal example for dependant variables is interval or ratio level. On the other hand, independent variables are categorically in nature (Gau, 2018). One sample T-test has four main assumptions. The dependent variables must be continuous (interval/ ratio).