Question: Choose one continuous variable from the Statistics for 42 Countries. Spreadsheet File. Country Population Life Expectancy at birth Mortality rate, infant (per 1000 live births)

  1. Choose one continuous variable from the Statistics for 42 Countries. Spreadsheet File.
Country Population Life Expectancy at birth Mortality rate, infant (per 1000 live births) Population Grown (annual %) GDP per capita (current USD)
Afghanistan 31,627,506 60.37446 68.1 3.03347 633.94786
Algeria 38,934,334 74.8081 22 1.9404 5484.06681
Argentina 42,980,026 76.15861 11.5 1.03306 12324.93879
Bangladesh 159,077,513 71.6259 32.1 1.21438 1086.80009
Brazil 206,077,898 74.40188 14.4 0.88636 11728.79939
Canada 35,587,793 81.95661 4.4 1.09807 50185.4815
China 1,369,435,670 75.78227 9.8 0.50631 7683.50204
Colombia 47,791,393 73.99315 14.1 0.944 7918.0789
Democratic Republic of the Congo 74,877,030 58.6592 76.5 3.15318 437.81493
Egypt 89,579,670 71.12171 21 2.21886 3365.70742
Ethiopia 96,958,732 64.03502 42.9 2.50681 573.56596
France 64,121,249 82.37317 3.6 0.7909 42696.77883
Germany 80,646,262 80.8439 3.2 -1.41038 47902.65288
India 1,295,291,543 68.0138 39.3 1.22673 1576.81767
Indonesia 254,454,778 68.88849 23.6 1.26019 3499.58873
Iran (Islamic Republic of) 78,143,644 75.38932 13.9 1.27655 5442.87477
Iraq 35,273,293 69.39968 27.2 3.36127 6484.52934
Italy 59,788,667 82.69024 3 0.9175 35365.10412
Japan 126,794,564 83.5878 2.1 -0.16255 38139.42236
Kenya 44,863,583 61.57637 36.6 2.64412 1368.49113
Mexico 125,385,833 76.72185 11.9 1.32122 10353.44798
Morocco 33,921,203 74.0161 24.6 1.39082 3186.60876
Myanmar 53,437,159 65.85785 40.7 0.85196 1227.13722
Nigeria 177,475,986 52.75427 71.5 2.66049 3203.2443
Pakistan 185,044,286 66.18337 67.4 2.10344 1320.55355
Peru 30,973,148 74.52554 13.6 1.325 6490.18119
Philippines 99,138,690 68.26563 22.8 1.59325 2873.08819
Poland 38,619,974 77.25366 4.5 -0.07485 14341.85993
Republic of Korea 50,074,401 82.15585 3 0.40596 27989.35399
Russian Federation 143,429,435 70.36585 8.5 0.21763 14051.59912
Saudi Arabia 30,886,545 74.33722 12.9 2.24439 24406.47646
South Africa 53,969,054 57.18212 34.4 1.61574 6498.589
Spain 46,259,716 83.07805 3.6 -0.29895 29718.50022
Sudan 39,350,274 63.45854 48.8 2.14527 2087.70054
Thailand 67,725,979 74.42202 10.9 0.40622 5969.94012
Turkey 77,523,788 75.16351 12.3 1.69132 10303.69871
Uganda 37,782,971 58.46641 39.1 3.25377 734.74402
Ukraine 45,002,497 71.18659 8.1 -0.27891 3104.6583
United Kingdom of Great Britain and Northern Ireland 64,331,348 81.0561 3.7 0.75335 46412.11727
United Republic of Tanzania 51,822,621 64.9439 36.2 3.15437 957.93453
United States of America 319,448,634 78.94146 5.7 0.7807 54539.66558
Viet Nam 92,423,338 75.62912 17.8 1.07421 2052.31908

  1. Collect data from all 42 countries.
  2. Copy and paste the data into a spreadsheet.
  3. Create a relative histogram, relative frequency table, and relative frequency polygon. Choose an interval size that best represents the data and justify your choice using the knowledge developed in this lesson.

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