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533 Project Math A for Professor Alex Hapka by DeAngela L. Dixon AJ Davis Department Store wants a random sample of 50 customers based on their location, income, family size, and credit balance. This information is needed so that the company may understand their customer's spending habits based on the variables that are listed above. LOCATION INCOME(\$1000) SIZE YEARS CREDIT BALANCE(\$) SORT KEY Urban 54 3 12...

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533 Project Math A for Professor Alex Hapka by DeAngela L. Dixon AJ Davis Department Store wants a random sample of 50 customers based on their location, income, family size, and credit balance. This information is needed so that the company may understand their customer's spending habits based on the variables that are listed above. LOCATION INCOME(\$1000) SIZE YEARS CREDIT BALANCE(\$) SORT KEY Urban 54 3 12 4016.00 Rural 30 2 12 3159.00 Suburban 32 4 17 5100.00 Suburban 50 5 14 4742.00 Rural 31 2 4 1864.00 Urban 55 2 9 4070.00 Rural 37 1 20 2731.00 Urban 40 2 7 3348.00 Suburban 66 4 10 4764.00 Urban 51 3 16 4110.00 Urban 25 3 11 4208.00 Urban 48 4 16 4219.00 Rural 27 1 19 2477.00 Rural 33 2 12 2514.00 Urban 65 3 12 4214.00 Suburban 63 4 13 4965.00 Urban 42 6 15 4412.00 Urban 21 2 18 2448.00 Rural 44 1 7 2995.00 Urban 37 5 5 4174.00 Suburban 62 6 13 5678.00 Urban 21 3 16 3623.00 Suburban 55 7 15 5301.00 Rural 42 2 19 3020.00 Urban 41 7 18 4828.00 Suburban 54 6 14 5573.00 Rural 30 1 14 2583.00 Rural 48 2 8 3866.00 Urban 34 5 5 3586.00 Suburban 67 4 13 5037.00 Rural 50 2 11 3605.00 Urban 67 5 1 5345.00 Urban 55 6 16 5370.00 Urban 52 2 11 3890.00 Urban 62 3 2 4705.00 Urban 64 2 6 4157.00 Suburban 22 3 18 3579.00 Urban 29 4 4 3890.00 Suburban 39 2 18 2972.00 Rural 35 1 11 3121.00 Urban 39 4 15 4183.00 Suburban 54 3 9 3730.00 Suburban 23 6 18 4127.00 Rural 27 2 1 2921.00 Urban 26 7 17 4603.00 Suburban 61 2 14 4273.00 6000 Rural 30 2 14 3067.00 5000 Rural 22 4 16 3074.00 Suburban 46 5 13 4820.00 4000 Suburban 66 4 20 5149.00 3000 LOCATION INCOME(\$1000) SIZE YEARS CREDIT BALANCE(\$) SORT KEY 2000 MIN 21 1 1 1864.00 1000 Q1 30.25 2 9.25 3130.50 MEDIAN 42 3 13 4090.00 0 Q3 54.75 4.75 16 4732.75 MAX 67 7 20 5678.00 AVERAGE MODE 43.48 30 3.42 12.38 2 14 3964.12 3890.00 itle Column B Column C Column D Column E Column D MIN Q1 MEDIAN Q3 Column B MAX LOCATION INCOME(\$1000) Urban 54 Urban 55 Urban 40 Urban 51 Urban 25 Urban 48 Urban 65 Urban 42 Urban 21 Urban 37 Urban 21 Urban 41 Urban 34 Urban 67 Urban 55 Urban 52 Urban 62 Urban 64 Urban 29 Urban 39 Urban 26 MIN Q1 MEDIAN Q3 MAX AVERAGE MODE 21 34 42 55 67 SIZE 3 2 2 3 3 4 3 6 2 5 3 7 5 5 6 2 3 2 4 4 7 YEARS 12 9 7 16 11 16 12 15 18 5 16 18 5 1 16 11 2 6 4 15 17 2 3 3 5 7 1 6 12 16 18 44.1904761905 3.8571429 11.047619 21 3 16 CREDIT BALANCE(\$) SORT KEY 4016.00 4070.00 3348.00 4110.00 4208.00 4219.00 4214.00 4412.00 2448.00 4174.00 3623.00 4828.00 3586.00 5345.00 5370.00 6000 3890.00 4705.00 5000 4157.00 4000 3890.00 3000 4183.00 4603.00 2000 2448.00 3890.00 4174.00 4412.00 5370.00 4161.86 3890.00 Column B Column C Column D Column E 1000 Column D 0 MIN Q1 MEDIAN Q3 Column B MAX LOCATION INCOME(\$1000) Rural 30 Rural 31 Rural 37 Rural 27 Rural 33 Rural 44 Rural 42 Rural 30 Rural 48 Rural 50 Rural 35 Rural 27 Rural 30 Rural 22 MIN Q1 MEDIAN Q3 MAX AVERAGE MODE 22 30 32 40.75 50 SIZE 2 2 1 1 2 1 2 1 2 2 1 2 2 4 YEARS 12 4 20 19 12 7 19 14 8 11 11 1 14 16 1 1 2 2 4 1 8.75 12 15.5 20 1864.00 2620.00 3007.50 3109.25 3866.00 12 11 2928.36 #VALUE! 34.7142857143 1.7857143 30 2 CREDIT BALANCE(\$) SORT KEY 3159.00 1864.00 2731.00 2477.00 2514.00 2995.00 3020.00 2583.00 3866.00 3605.00 4000 3121.00 3500 2921.00 3000 2500 3067.00 2000 3074.00 Column B Column C Column D Column E 1500 1000 500 0 Column D MIN Q1 MEDIAN Q3 Column B MAX LOCATION INCOME(\$1000) Suburban 32 Suburban 50 Suburban 66 Suburban 63 Suburban 62 Suburban 55 Suburban 54 Suburban 67 Suburban 22 Suburban 39 Suburban 54 Suburban 23 Suburban 61 Suburban 46 Suburban 66 MIN Q1 MEDIAN Q3 MAX AVERAGE MODE 22 42.5 54 62.5 67 SIZE 4 5 4 4 6 7 6 4 3 2 3 6 2 5 4 YEARS 17 14 10 13 13 15 14 13 18 18 9 18 14 13 20 2 3.5 4 5.5 7 9 13 14 17.5 20 50.6666666667 4.3333333 54 4 14.6 13 CREDIT BALANCE(\$) SORT KEY 5100.00 4742.00 4764.00 4965.00 5678.00 5301.00 5573.00 5037.00 3579.00 2972.00 3730.00 4127.00 4273.00 6000 4820.00 5000 5149.00 2972.00 4200.00 4820.00 5124.50 5678.00 4654.00 #VALUE! 4000 Column B Column C Column D Column E 3000 2000 1000 Column D 0 MIN Q1 MEDIAN Q3 Column B MAX LOCATION URBAN MIN Q1 MEDIAN Q3 MAX LOCATION RURAL MIN Q1 MEDIAN Q3 MAX LOCATION SUBURBAN MIN Q1 MEDIAN Q3 MAX INCOME(\$1000) SIZE 21 34 42 55 67 2 3 3 5 7 INCOME(\$1000) SIZE 22 30 32 40.75 50 1 1 2 2 4 INCOME(\$1000) SIZE 22 42.5 54 62.5 67 2 3.5 4 5.5 7 YEARS CREDIT BALANCE(\$) 1 6 12 16 18 2448.00 3890.00 4174.00 4412.00 5370.00 6000 4000 2000 0 Column B Column C Column D Column E Column D MIN Q1 MEDIAN Q3 MAX Column B YEARS CREDIT BALANCE(\$) 1 8.75 12 15.5 20 MIN Q1 MEDIAN Q3 MAX 1864.00 2620.00 3007.50 3109.25 3866.00 YEARS CREDIT BALANCE(\$) 9 13 14 17.5 20 2972.00 4200.00 4820.00 5124.50 5678.00 6000 4000 2000 0 Column D MIN Q1 MEDIAN Q3 MAX Column B Column B Column C Column D Column E The first variable will be Rural Location and Credit Balance. The minimum credit card balance is 1864.00 and the maximum credit balance is 3866.00 in the rural location. The second variable will consist of Rural Location and Income. The minimum income is 22,000 and the maximum income is 50,000 in the rural location. The third variable will consist of Rural Family Size and Credit balance. The minimum family size is 1 and the maximum is 4. In conclusion AJ Davis Department Store seems to have in order their information for their sampling of 50 customers. As shown in the previous documents the company will be able to thrive and survive the current economy.

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