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Statistical Analysis of Accidental Deaths in India

Author

Listed:
  • Palle Bhavana

    (Department of OR & SQC, Rayalaseema University, Kurnool, India)

  • M. Rohit Kumar

    (Department of OR & SQC, Rayalaseema University, Kurnool, India)

  • G. Anjali

    (Department of OR & SQC, Rayalaseema University, Kurnool, India)

  • Dr. B. Sainath

    (Department of OR & SQC, Rayalaseema University, Kurnool, India)

  • Dr. Y. Raghunatha Reddy

    (Department of OR & SQC, Rayalaseema University, Kurnool, India)

Abstract

Accidental deaths represent a significant public health and socio-economic concern in India. This study presents a comprehensive statistical analysis of accidental deaths categorized into natural causes and unnatural causes over a period of seven years (2019–2025). The data used in this study is secondary in nature and collected from official records including police reports, hospital data, and government publications. The study applies descriptive statistics, ABC analysis, t-test, ANOVA, and Tukey’s post hoc test to identify patterns, variations, and significant differences among accident categories. The results indicate that certain causes such as lightning, exposure to cold, and other causes contribute significantly to total accidental deaths.Further, ANOVA results confirm the presence of statistically significant differences among accident categories across years, and Tukey’s test identifies specific group differences. The findings provide insights for policymakers to implement targeted safety measures and reduce accidental deaths.

Suggested Citation

  • Palle Bhavana & M. Rohit Kumar & G. Anjali & Dr. B. Sainath & Dr. Y. Raghunatha Reddy, 2026. "Statistical Analysis of Accidental Deaths in India," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 15(4), pages 1237-1247, April.
    • Handle: RePEc:bjb:journl:v:15:y:2026:i:4:p:1237-1247
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