Statistical Analysis of suicides in India

Authors

  • Rashi khubnani  Basic Science Depatment, New Horizon college of Engineering, Bangalore, India
  • Tarunika Sharma  Basic Science Depatment, New Horizon college of Engineering, Bangalore, India

Keywords:

level of significance, sex ratio, Degree of freedom, critical value, null hypothesis, non-parametric tests component.

Abstract

According to the World Health Organization’s report in 2016, India had the highest suicide rate in the South-East Asian region. In India in 2016 the age standardized suicide rate was 16.4 per 100,000 in case of women ,which is 6th highest in world and for men it was observed 25.8 ranking 22nd.The most common cause of unnatural death was suicide in both age groups of 15-29 years and 25-39years. The purpose of this paper is to investigate correlation of suicide cases with numerous variables, like occupation, demographic parameters - gender (male- female) and age. we collected data from various sources to study statistically significant relationship between suicide with respect to age, gender and occupation, Chi-square (?2) test was used (the significance level of test was 0.05). In our study, the statistical test was significantlly indicating that there is some significant relationship between age, gender and occupation.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-12-30

Issue

Volume 4, Issue 9, November-December-2019

Section

Research Articles

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How to Cite

[1]
Rashi khubnani, Tarunika Sharma, " Statistical Analysis of suicides in India" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 9, pp.190-195, November-December-2019.