Introduction
Suicide rate overview 1985 to 2016 is secondary data collected by the United Nation Development Program, World Bank, and the World Health Organization to compare socio-economic information with suicide rates by year and country.
Helping countries to solve their socio-economic problems is an expert's responsibility. I choose comparison between Finland as a rich country and Russia as a poor country to show if there is a relationship between wealth and suicide rates with another comparison for Russia only as a growing country from poverty to show if growth could affect suicide rates to be my research-based paper. Groups of people will be chosen in an appropriate way which will avoid elder people above 75 years old because they considered as a minority in different communities and below 15 years old due to the low impact of wealth on them.
Report
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I choosed this topic to help countries to solve their socio-economic problems specifically self-suicide problems, and if it has any relationship with the country's economic problems in different conditions by assuming hypotheses to test them in different measurement ways. I used R studio to assist me to process statistical analyses on the data-sets. This data set is analyzed through several statistical tests such as Hypothesis testing two samples, Correlation, Regression, ANOVA, and Chisquare tests.
Hypothesis testing two samples used that the mean of suicide number per 100K of Russia from 1990 to 1991 and the mean of suicide number per 100K of Russia from 2010 to 2011, chi-square used suicide numbers per 100K and years, gender & age-grouped combined in Russia and ANOVA used the mean of Russia's suicide numbers per 100K during 1990-1991 is equal to the mean of Russia's suicide numbers per 100K during 2010-2011.
Correlation test used GDP per capita and suicide numbers per 100K in Russia where considered as poor country improved by time, another correlation used GDP per capita and suicide numbers per 100K in Finland where considered as rich country fluctuating at the same point. Regression used year data became the independent variable of Russian suicide numbers per 100K and Finnish suicide numbers per 100K.
Conclusion
In summary, hypothesis testing two samples explained that the mean of suicide number per 100K of Russia from 1990 to 1991 is greater than the mean of suicide number per 100K of Russia from 2010 to 2011, chi-square test shows no relationship between suicide numbers per 100K and years, gender & age-grouped combined in Russia and ANOVA illustrates the mean of Russia's suicide numbers per 100K during 1990-1991 is equal to the mean of Russia's suicide numbers per 100K during 2010-2011. Overall, the poor country's self-suicide rates will decrease when its economy getting better.
In the end, the correlation test shows the strong inversely relationship between GDP per capita and suicide numbers per 100K in Russia where considered as poor country improved by time, the weak inverse relationship between GDP per capita and suicide numbers per 100K in Finland where considered a rich country fluctuating at the same point. Regression supports the same point when year data became the independent variable of Russian suicide numbers per 100K and Finnish suicide numbers per 100K by showing the high explained variation of Russian suicide numbers per 100K comparing to Finland's.