Wednesday, September 25, 2019

R Software to complete this task Coursework Example | Topics and Well Written Essays - 500 words

R Software to complete this task - Coursework Example The negative skewness implies that there are more data points on the left side of the histogram (negative side of a skew plot). One can conclude that the life expectancy across the 182 countries is well below 70 years. The scatter plot above barely indicate any form of correlation between internet usage and life expectancy. However, it is clearly indicative that as internet usage increase from 20 to 80, the life expectancy tends to stay above 70 years and steadily moves towards 80 years. This can be simply explained by the fact that increased internet usage leads to better health care awareness. Being exposed to better and healthy living habits and information through the internet may be the cause for increased longevity. The histogram for life expectancy in Europe also shows that the distribution is negatively skewed, but much lesser compared to the entire world life expectancy. The skewness coefficient stands at (-0.52496). However, looking at the bar plots above, there seems to be a reduced number of age data points on the left side. This means that Europe experience increased longevity compared to the world (Reimann et al.). A careful look at the histogram shows that between ages 60 to age 78, the distribution is symmetrical. However, when the age limit is extended above 80, the distribution becomes negatively skewed. The life expectancy in Europe is much higher compared to the 182 countries. The first histogram plot clearly shows that the life expectancy across the 182 countries is 70 years, while the second histogram plot shows that the life expectancy in Europe is at 78 years. Both histograms distribution are negatively skewed, however, Europe seems to have more access to information technology (internet access) which obviously has improved the living standard and heath care for the aging population. In addition, one can also conclude that since Europe has many developed markets, a huge proportion of the population is able to

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