The COVID-19 pandemic has brought about a significant loss of human life globally, posing unprecedented challenges to public health, food systems, and the workforce. This work introduces the concept of Analysis of Variance (ANOVA) and its application to compare COVID-19 death rates among five different states in India. ANOVA is a statistical method used to analyze differences between the means of multiple samples, providing a systematic way to test for equality among population means. This research utilizes a cross-sectional approach to compare COVID-19 death rates in five Indian states (Kerala, Karnataka, Bihar, Haryana, and Rajasthan) during June to September 2021. The study employs Analysis of Variance (ANOVA) to test hypotheses regarding differences in death rates. Results show no significant variation in death rates by month but do reveal significant differences among the states. Notably, the population mean death rate of Kerala is found to be the same as Karnataka. This research sheds light on how the pandemic impacted mortality rates in different Indian states.