SAMPLE
Population (2020)
69,799,978
9,006,398
5,094,118
36,910,560
29,136,808
1,968,001
625,978
19,116,201
110,940
2,351,627
2,722,289
19,129,952
46,754,778
11,402,528
11,890,784
7,132,538
8,655,535
32,971,854
5,459,642
109,581,078
307,145
298,682
540,544
25,499,884
11,818,619
9,449,323
586,632
11,673,021
3,546,421
11,193,725
53,199
273,523,615
9,890,402
20,903,273
2,142,249
97,929
6,031,200
112,523
17,134,872
5,540,720
2,877,797
83,783,942
437,479
5,850,342
220,892,340
128,932,753
1,318,445
31,255,435
119,449
7,976,983
198,414
98,347
4,822,233
9,537,645
10,099,265
1,439,323,776
686,878
17,915,568
12,952,218
15,893,222
10,423,054
341,243
4,649,658
19,237,691
24,206,644
145,934,462
97,338,579
126,476,461
4,937,786
896,445
2,225,734
53,771,296
219,159
32,365,999
11,792
105,695
This Sample is the population of 76 countires. Organize your sample data into a frequency distribution. Note the following: (13 marks)
• Provide calculations for determining the class width and the limits of each class.
• Include columns for class limits, midpoints, frequencies, relative frequencies, cumulative frequencies, and cumulative relative frequencies.
• Note: If your frequency distribution has most of the data grouped together and one or two points in the lowest or highest interval with empty intervals in between, your data probably has outliers. It may be best to create an overflow/underflow class for those (eg. “More than 1000”).