THE USE OF TWO-SAMPLE t-TEST IN THE REAL DATA

Abstract

The t-test is among the most frequent uses of statistics for hypothesis testing and comparing means of populations. The t-test was developed and improved by statistic pioneers and has been extensively used ever since for various purposes and in different contexts of research. The t-test for two samples is applied to check whether two independent populations have equal means or not. The real Infant Mortality Rate (IMR) data is taken into consideration for testing purposes to apply the significance of the t-test. The descriptive statistical analysis step begins with calculating descriptive statistics, and then null and alternative hypotheses are stated. The pooled variance method is used to calculate the test statistic value and then the t-value is determined based on the chosen significance level. The outcome clearly reveals how the two-sample t-test can be efficiently used to figure out whether there is significance or not among two populations using real data.