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Question 1 (50 pts) In the object life_exp, you are given average yearly life expectancy values from five continents. You will use this data for the following sub-questions. You should paste your codes that generated your anser for all of the sub-questions.
a (5 pts) What are the maximum and minimum values of the variable year? Or in other words what are the first and the last years that we have the life expectancy data from.
b (15 pts) Which continent has the most drastic change of life expectancy overall? Take the minimum and the maximum of each continent and check which continent has the most stark increase in life expectancy.
c (15 pts) Does the life expectancy always increase through the years for all continents? Is the difference between n th and the n-1 th year always positive for all continents? You should do this separately for all five continents, and check if there are negative elements in the resulting “difference” vectors. (2nd-1st year, 3rd-2nd year, . . . etc.)
Hint: you can use the diff() function to find the differences between consecutive elements in a vector.
If there is such a continent, find and write in which year this drop(s) in life expectancy occur (e.g. “Americas, 1951” would mean that 1951 had lower life expectancy than 1950 for Americas)
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d (15 pts)
1950 1960 1970 1980 1990 2000 2010
4 0
5 0
6 0
7 0
8 0
Etka’s plot
Year
A ve
ra g
e L
ife E
xp e
ct a
n cy
Africa Americas Asia Europe Oceania
Try to reproduce the above plot. The colors, line styling, point styling don’t need to match the shown plot exactly. It is important that you have different colors for each continent though. The plot was drawn with y axis spanning from 35 to 80 and the x axis spanning the 1950-2010 range. Your plot should match that. X and Y axis labels should also match. You should have your name in the plots title (Like I do with “Etka’s plot” below.) The colors I used for my plot are c(1,2,3,4,6). You can specify numbers instead of color names in plotting functions that have a col= argument, that’s why it works.
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It also allows individuals to establish an opinion on social and cultural issues. For example, is it a business’s responsibility to cure societies prejudices? Should they have a political or social agenda? This feeds into the idea that powerful knowledge is always open to challenge and that powerful knowledge isn’t always confined by the discipline it is devolved from, i.e. these ethical issues aren’t stemming from ‘business’ but are greater societal issues (Young, 2010).
Young (2013) makes it clear from his work that powerful knowledge is not something which individuals stumble upon, but rather in something which is presented to then in a way that deepens their thinking and widens their perspectives of the unfamiliar. Therefore, much attention should be given to the pedagogical approach taken by those in a position to bestow such knowledge on the leaners. In all areas of teaching planning is essential, however e