Fig 4 plots the GDP of Germany and Poland. From 2008 to 2010 there is decrease in Germany’s GDP. In 2008 Germany’s GDP was more than 3500 US billion. In 2010 it reached to approximately 3300 Billion dollars. Poland’s GDP more or less remain same. In 2008 Poland GDP was slightly more than 500 billion dollars and in 2010 it was 500 billion dollars.

Fig 5 plots the GDP per capita. There is decreasing trend in Germany’s per capita GDP. In 2008 it was less than 45000 billion dollars and in 2010 it was 40,000 billion dollars. Whereas in Poland’s per capita GDP there is sharp decrease in 2009. But there is slight rise in 2010.

Fig 6 plots stock traded and total value. In 2008 Germany’s companies stock traded and total value was 3100 US billion dollars. In Poland there was very less trading and total value was 100 billion and it remain more or less same till 2010. Where as in Germany there was a sharp decline in 2009. Total value reached to 1300 US billion dollar. In 2010 it slightly increased, and In 2011 stock traded and total values of German companies were around 1300 US billion dollars.

Fig 7 plots stocks traded and Turnover ratio in percentage. In 2008 Germany’s companies’ turnover ratio was around 190. In 2009 it decrease to 100. In 2010 this ratio remain same. But in 2011 it increased and reached to 130. Poland’s turn over ration compared to Germany is very less. In 2008 it was slightly less than 50. In 2009 it reached to 50 and remain stable for 2010. And then in 2011 it slightly increased to 110.

Null-hypothesis testing

The t-test is „robust” since it continues to work well even if applied to non-normal data. Now, in fact, the „Central Limit Theorem” shows that the t-test can avoid becoming unusually fallible when applied to non-normal datasets: If the control/treatment datasets are sufficiently "large" the t-test does not lie outrageously even