Quantitative data analysis report based on an independent analysis of Statistics Project

Quantitative data analysis report based on an independent analysis of a large data set of regional economic and social indicators from France and Italy (NUTS2) - Statistics Project Example The sample proportion of France indicated mean for participation rates (M= 100.8, SD=1.6) was significant ≠¥ high tech employments (M = 4.3, SD =1.4), t(20) = 257.4 p =000. Thus we reject null hypothesis as p The indication from the Tables, Italy, is that, at difference of (m = 95.2, sd = 3.8), t(18) = 110 p At 97.7% variance of GDP (2008) the is accounted for the linear combination, with a positive linear coefficient correlation of .99. The bivariate coefficient indicates p There is a highly linear correlation at R2 = 98.2 % of the variance of GDP in the linear equation. P-value GDP of a country is market value per year of all goods and services produced in the country. The value does not include the goods and services produced in other countries (Tucker, 2013). Thus the GDP of a country can measure of the wealth of a nation. The Western Europe countries of Italy and France have a high potential in high tech sectors in that France has a high tech patent rights that contribute a lot in the GDP of the France, where as Italy has more sectors that employ more people in high tech sectors. The education plays the main part in developing the cognitive, physical and social skills. The 4 year old kid develop skills by participating in schools activities thus increasing the enjoyment in leisure, reading books, understanding jokes and playing games (O’Sullivan,