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Table 5: Demographic Data, 20 Largest CMAS CMA by Population Visible Born Minority (%) 51.4 Rank Outside of Canada 1. Toronto3 9. From the data in Table 5 of the Data file, complete the sections below and graphically represent the data in the form ofHistogram: all is (%) Calculate the values below (show your work) Median 40, 5.1 ,1.1.94, s6359 .1.9 , l8oj8.3M|5 iq 7, 29, 2

Table 5: Demographic Data, 20 Largest CMAS CMA by Population Visible Born Minority (%) 51.4 Rank Outside of Canada 1. Toronto 2. Montreal 3. Vancouver 4. Ottawa 5. Calgany 6. Edmonton 7. Quebec City 8. Winnipeg 9. Hamilton 10. Kitchener 11. London 12. St. Catharines 13. Halifax 14. Oshawa 15. Victoria 22.6 48.9 21.6 33.7 28.1 4.9 25.7 40.8 19.7 17.7 19.3 16.1 19.5 9.3 11.4 17.2 14.1 22.y20.5 16. Windsor 17.1 17. Saskatoon 18. Regina 19. Sherbrooke 20. St. John's 5 159 17.7 5.8
3 9. From the data in Table 5 of the Data file, complete the sections below and graphically represent the data in the form of a histogram. Indicate your assigned category Ben Otede of (-nah (%) Category Class Class Class I Interval, j Midt,y 20 2 20 LOS 115 Maximum Minimum 416. O to 10 0 to 20 0 to 30 5 30 to O u0 to 5045 6 Interval (Range/Vn Selected Interval Start value 35 to Sum но 7
Histogram: all is (%) Calculate the values below (show your work) Median 40, 5.1 ,1.1.94, s6359 .1.9 , l8oj8.3M|5 iq 7, 29, 230,2凖,238,239, 24.1 ,2944a846·1 나 9.54+9.1 1.6 Modal Class to 20 and 20 to 30 0 0 20 30 40 S0 60 Weighted Mean 390 10. From the data in Table 5, describe the geographic and demographic patterns that are evident for your assigned category (based on the location of the CMAs and the population of the CMAs). Suggest reasons these patterns may exist
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BoD qutside of canade maximum 46 Range selected Interval 1o stant value- o class class MidPof认 CF) los 23 17S 36-46 440-T0 O-Born outside visible Minority 8 6 5 Seriesi a Series 0 15 25 35 Axis Title Axis Title

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