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Problem #2: Students with the last name of F-J: Please review Section 2.2. How do the average credit scores of people living in different cities differ? The data in the accompanying table is an ordered array of the average credit scores of 47 cities. 700 701 703 703 706 710 710 712 712 720 725 730 730 730 732 733 735 735 735 736 740 740 740 744 746 746 747 748 749 750 750 751 751 753 755 757 759 760 760 762 762 765 770 771 771 779 789 Construct a frequency distribution and a percentage distribution that have class intervals with the upper class boundaries 704, 714, and so on. Frequency Distribution Credit Score Frequency 695 but less than 705 705 but less than 715 715 but less than 725 725 but less than 735 735 but less than 745 745 but less than 755 755 but less than 765 765 but less than 775 775 but less than 785 785 but less than 795 Percentage Distribution Credit Score Percentage 695 but less than 705 705 but less than 715 715 but less than 725 725 but less than 735 735 but less than 745 745 but less than 755 755 but less than 765 765 but less than 775 775 but less than 785 785 but less than 795 (Round to two decimal places as needed.) Construct a cumulative percentage distribution. Percentage Less Credit Score Than Indicated Amount 695 705 715 725 735 745 755 765 775 785 795 Round to two decimal places as needed. Cumulative percentages close to 100% are correct due to rounding at each level.) What conclusions can you reach concerning the average credit scores of people living in different cities? Where do the most average credit scores lie?