PART B: Complete Descriptive Statistic analysis of your data You will now be working with your partner(s) for the remainder of the Final Project. You will choose ONE data from Part A to move forward

GROUP ECHO: Haley Shide, T ina T ran, Maddie Long, No T raore, Miya Nguyen 1. The statistics question my group would like to ask is: “Is there a significant relationship between a countries CO2 emissions and its dairy production?” And further , how does this compare to the populations of the countries?” This question seemed interesting to answer because it is a section of carbon emissions that is often overlooked in the climate crisis. Finding this data can inspire further research and ideas! 2. The population of the data is all countries. The second population is the world population. The sample size is 30 random countries. 3. The data is being collected from ourworldindata.or g 4. I will record the names of the countries included in the ourworldindata.or g study and randomly select the sheets from a bowl. Our sample will be 30 countries. W e will use the same countries for both CO2 emissions and dairy production meaning our samples will be matched. CO2 Emmisions vs Dariy produced measured in tonnes (t) in no particular order C O UNTR Y C O 2 e m is sio ns t ( T o nnes) D air y P ro duce d t ( T o nnes) P opula tio n o f c o untr ie s 1 R ussia 2 .0 1 B illio n t 3 2.3 3 M illio n t 1 45.1 M illio n 2 C anada 6 55.6 2 M illio n t 9 .4 7 M illio n t 3 8.1 6 M illio n 3 U SA 5 .1 6 B illio n t 1 02.6 5 M illio n t 3 37 M illio n 4 C hin a 1 2.2 4 B illio n t 4 1.2 5 M illio n t 1 .4 3 B illio n 5 A lg eria 1 82.1 7 M illio n t 3 .2 6 M illio n t 4 4.1 8 M illio n 6 M exic o 8 07.6 9 M illio n t 1 3.0 7 M illio n t 1 26.7 1 M illio n 7 C olu m bia 1 33.4 9 M illio n t 6 .7 9 M illio n t 5 1.5 2 M illio n 8 B ra zil 1 .6 6 B illio n t 3 6.6 6 M illio n t 2 14.3 3 M illio n 9 V Ie tn am 6 05.4 7 M illio n t 1 .1 M illio n t 9 7.4 7 M illio n 1 0 T haila nd 3 06.5 5 M illio n t 1 .2 M illio n 7 1.6 M illio n 1 1 A rg entin ia 2 20.7 3 M illio n t 1 1 .5 5 M illio n t 4 5.2 8 M illio n 1 2 C uba 1 2.1 1 M illio n t 3 84,2 99 t 1 1 .2 6 M illio n 1 3 S audi A ra bia 6 35.2 9 M illio n t 2 .9 2 M illio n t 3 5.9 5 M illio n 1 4 S om alia 2 1.0 9 M illio n t 2 .1 8 M illio n t 1 7.0 7 M illio n 1 5 S outh A fr ic a 4 25.9 3 M illio n t 3 .8 4 M illio n t 5 9.3 9 M illio n 1 6 A ustr a lia 3 80.4 5 M illio n t 8 .8 6 M illio n t 2 5.9 2 M illio n 1 7 J a pan 1 .0 7 B illio n t 7 .5 9 M illio n t 1 24.6 1 M illio n 1 8 T urk e y 4 18.4 6 M illio n t 2 3.2 M illio n 8 4.7 8 M illio n 1 9 G erm any 6 70.4 4 M illio n t 3 3.1 9 M illio n t 8 3.4 1 M illio n 2 0 N orw ay 4 8.6 6 M illio n t 1 .6 M illio n t 5 .4 M illio n 2 1 R om ania 5 7.9 6 M illio n t 4 .3 M illio n t 1 9.3 3 M illio n 2 2 F ra nce 2 90.0 2 M illio n t 2 5.8 3 M illio n t 6 4.5 3 M illio n 2 3 S w eden 4 4.0 4 M illio n t 2 .7 8 M illio n t 1 0.4 7 M illio n 2 4 N ew Z eala nd 3 6.8 9 M illio n t 2 1.8 9 M illio n t 5 .1 3 M illio n 2 5 I n dia 2 .7 3 M illio n t 2 08.9 8 M illio n t 1 .4 1 B illio n 2 6 M ya nm ar 1 31.2 5 M illio n t 2 .1 5 M illio n t 5 3.8 M illio n 2 7 I r a n 6 74.8 5 M illio n t 7 .8 5 M illio n t 8 7.9 2 M illio n 2 8 P hillip in es 1 67.4 8 M illio n t 1 6,0 80 t 1 1 3.8 8 M illio n 2 9 P ola nd 2 93.9 M illio n t 1 4.8 9 M illio n t 3 8.3 1 M illio n 3 0 S pain 2 10.3 1 M illio n t 8 .7 M illio n t 4 7.4 9 M illio n