La Rosa Demographic Analysis
8 Pages

La Rosa Demographic Analysis

Course Number: CS&E 200, Winter 2010

College/University: Ohio State

Word Count: 467

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#Desserts # Meals Rank for Rank for Out per out per Most Most Respondent# Age Category Income Month Month Desserts Meals 100 22-25 5000 4 4 50 59 101 30-35 100000 5 15 45 13 102 26-30 75000 3 24 57 1 103 18-21 40000 0 15 74 13 104 30-35 100000 12 3 23 65 105 26-30 50000 8 19 34 7 106 30-35 20000 1 8 67 38 107 30-35 100000 18 12 8 20 108 30-35 20000 14 6 15 49 109 30-35 100000 4 20 50 4 110 30-35 75000 0 0 74 103...

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# #Desserts Meals Rank for Rank for Out per out per Most Most Respondent# Age Category Income Month Month Desserts Meals 100 22-25 5000 4 4 50 59 101 30-35 100000 5 15 45 13 102 26-30 75000 3 24 57 1 103 18-21 40000 0 15 74 13 104 30-35 100000 12 3 23 65 105 26-30 50000 8 19 34 7 106 30-35 20000 1 8 67 38 107 30-35 100000 18 12 8 20 108 30-35 20000 14 6 15 49 109 30-35 100000 4 20 50 4 110 30-35 75000 0 0 74 103 111 18-21 30000 0 6 74 49 112 22-25 30000 4 12 50 20 113 18-21 30000 0 3 74 65 114 18-21 5000 0 5 74 55 115 over 35 50000 1 7 67 42 116 30-35 40000 1 1 67 93 117 26-30 20000 10 3 29 65 118 30-35 100000 11 13 26 18 119 18-21 30000 0 3 74 65 120 30-35 30000 3 12 57 20 121 26-30 75000 1 20 67 4 122 18-21 5000 0 10 74 29 123 22-25 20000 0 2 74 79 124 18-21 10000 0 0 74 103 125 22-25 5000 13 20 19 4 126 26-30 75000 5 11 45 26 127 over 35 20000 4 1 50 93 128 22-25 5000 14 6 15 49 129 over 35 100000 12 13 23 18 130 18-21 10000 0 2 74 79 131 18-21 10000 0 7 74 42 132 26-30 100000 11 6 26 49 133 22-25 10000 3 5 57 55 134 22-25 50000 13 8 19 38 135 22-25 20000 6 3 42 65 136 26-30 20000 6 11 42 26 137 18-21 10000 0 2 74 79 138 30-35 75000 1 3 67 65 139 22-25 30000 20 9 3 32 140 30-35 100000 2 7 64 42 141 18-21 5000 0 4 74 59 142 22-25 10000 8 0 34 103 143 22-25 20000 20 2 3 79 144 30-35 20000 9 3 32 65 145 18-21 20000 0 18 74 8 146 18-21 5000 0 2 74 79 147 26-30 5000 10 3 29 65 148 22-25 5000 15 5 14 55 149 22-25 50000 14 14 15 17 150 22-25 151 22-25 152 22-25 153 18-21 154 30-35 155 26-30 156 18-21 157 18-21 158 30-35 159 26-30 160 18-21 161 26-30 162 over 35 163 30-35 164 18-21 165 22-25 166 30-35 167 over 35 168 26-30 169 26-30 170 26-30 171 18-21 172 30-35 173 26-30 174 18-21 175 over 35 176 26-30 177 18-21 178 22-25 179 over 35 180 18-21 181 30-35 182 26-30 183 30-35 184 26-30 185 18-21 186 18-21 187 18-21 188 26-30 189 over 35 190 22-25 191 18-21 192 26-30 193 26-30 194 18-21 195 22-25 196 18-21 197 22-25 198 22-25 199 18-21 200 18-21 201 over 35 202 22-25 40000 50000 5000 40000 100000 50000 30000 30000 100000 30000 10000 75000 100000 5000 30000 100000 5000 50000 20000 50000 30000 20000 40000 30000 5000 10000 20000 5000 50000 20000 30000 100000 5000 100000 20000 40000 30000 30000 5000 10000 75000 10000 20000 40000 10000 75000 30000 75000 100000 5000 40000 100000 5000 20 13 3 0 3 20 0 0 7 5 0 18 8 0 0 7 2 6 1 7 3 0 10 3 0 20 25 0 5 1 0 14 2 9 17 0 0 0 18 8 13 0 11 22 0 17 0 12 16 0 0 7 4 23 9 4 9 16 12 2 7 17 11 1 0 10 3 10 12 2 7 2 3 8 3 17 4 12 2 1 1 8 7 9 15 2 16 2 1 3 6 1 3 6 4 2 15 5 1 3 4 21 9 9 2 1 3 19 57 74 57 3 74 74 38 45 74 8 34 74 74 38 64 42 67 38 57 74 29 57 74 3 1 74 45 67 74 15 64 32 11 74 74 74 8 34 19 74 26 2 74 11 74 23 13 74 74 38 50 2 32 59 32 11 20 79 42 9 26 93 103 29 65 29 20 79 42 79 65 38 65 9 59 20 79 93 93 38 42 32 13 79 11 79 93 65 49 93 65 49 59 79 13 55 93 65 59 3 32 32 79 93 203 26-30 204 26-30 205 26-30 206 over 35 10000 75000 30000 100000 5 4 4 0 0 7 2 1 45 50 50 74 103 42 79 93 #Desserts # Meals Rank for Rank for Out per out per Most Most Respondent# Age Category Income Month Month Desserts Meals 100 30-35 75000 0 15 95 34 101 30-35 30000 13 10 22 54 102 26-30 5000 3 24 70 7 103 18-21 20000 0 5 95 78 104 30-35 100000 4 16 62 27 105 26-30 20000 10 21 31 14 106 30-35 75000 8 8 41 63 107 30-35 100000 9 5 34 78 108 30-35 30000 4 8 62 63 109 30-35 75000 4 15 62 34 110 30-35 100000 5 4 57 82 111 18-21 30000 10 16 31 27 112 22-25 5000 9 16 34 27 113 18-21 30000 0 2 95 94 114 18-21 30000 0 12 95 45 115 over 35 100000 1 19 87 20 116 30-35 100000 7 3 45 88 117 26-30 50000 5 4 57 82 118 30-35 100000 16 1 13 101 119 18-21 20000 9 9 34 58 120 30-35 75000 12 1 25 101 26-30 121 10000 1 24 87 7 122 18-21 5000 11 9 26 58 123 30-35 40000 0 7 95 69 124 30-35 30000 15 12 17 45 125 22-25 50000 2 16 75 27 126 over 35 10000 4 2 62 94 127 over 35 40000 11 3 26 88 128 22-25 30000 14 16 19 27 129 over 35 40000 9 14 34 38 130 18-21 10000 0 0 95 106 131 18-21 10000 8 12 41 45 132 26-30 40000 0 7 95 69 133 22-25 30000 16 23 13 11 134 22-25 30000 3 28 70 1 135 22-25 20000 6 6 51 74 136 26-30 5000 7 20 45 16 137 18-21 20000 20 8 3 63 138 30-35 5000 7 15 45 34 139 22-25 5000 6 6 51 74 140 30-35 40000 2 14 75 38 141 18-21 40000 7 21 45 14 142 over 35 10000 5 2 57 94 143 22-25 100000 2 27 75 2 144 over 35 50000 23 10 1 54 145 18-21 10000 6 8 51 63 146 18-21 10000 18 15 8 34 147 26-30 5000 1 17 87 24 148 22-25 10000 2 4 75 82 149 22-25 100000 3 18 70 23 150 22-25 151 22-25 152 22-25 153 18-21 154 over 35 155 26-30 156 18-21 157 18-21 158 30-35 159 26-30 160 18-21 161 26-30 162 over 35 163 30-35 164 18-21 165 22-25 166 30-35 167 over 35 168 over 35 169 over 35 170 26-30 171 18-21 172 30-35 173 26-30 174 18-21 175 over 35 176 26-30 177 18-21 178 22-25 179 over 35 180 18-21 181 30-35 182 26-30 183 30-35 184 30-35 185 18-21 186 18-21 187 18-21 188 26-30 189 over 35 190 22-25 191 18-21 192 26-30 193 26-30 194 18-21 195 22-25 196 18-21 197 22-25 198 22-25 199 18-21 200 18-21 201 over 35 202 22-25 30000 30000 20000 30000 20000 30000 10000 40000 100000 20000 20000 40000 50000 30000 10000 75000 100000 100000 20000 50000 100000 20000 75000 10000 5000 10000 30000 5000 5000 100000 40000 40000 30000 100000 30000 5000 20000 30000 100000 100000 20000 30000 100000 20000 10000 5000 10000 20000 100000 10000 10000 40000 75000 4 11 2 19 18 19 5 11 2 0 13 4 2 9 8 9 7 14 0 1 2 23 17 4 16 2 8 19 0 7 14 1 17 2 16 9 1 4 1 20 5 2 13 0 6 17 0 3 0 6 10 15 2 14 27 11 19 4 10 19 4 3 12 6 2 2 3 1 10 4 13 2 12 25 14 1 8 20 1 3 13 5 17 25 12 11 17 20 0 7 22 26 9 16 24 24 9 9 20 22 13 5 6 3 2 7 62 26 75 5 8 5 57 26 75 95 22 62 75 34 41 34 45 19 95 87 75 1 10 62 13 75 41 5 95 45 19 87 10 75 13 34 87 62 87 3 57 75 22 95 51 10 95 70 95 51 31 17 75 38 2 51 20 82 54 20 82 88 45 74 94 94 88 101 54 82 42 94 45 5 38 101 63 16 101 88 42 78 24 5 45 51 24 16 106 69 12 4 58 27 7 7 58 58 16 12 42 78 74 88 94 69 203 30-35 204 26-30 205 30-35 206 over 35 30000 5000 100000 10000 6 3 1 11 16 11 8 7 51 70 87 26 27 51 63 69 Average Desserts Site X Site Y Highest Number of Desserts 1 2 3 4 Standard Standard Average Deviation of Deviation Meals Desserts of Meals 6.13 7.11 6.67 5.95 7.28 11.35 6.21 7.54 Site Y 23 23 20 20 Lowest Number of Meals 1 2 3 4 5 6 7 8 9 10 Site X 0 0 0 0 0 1 1 1 1 1 Site Y 0 0 1 1 1 1 1 2 2 2 Site X 25 22 20 20 Site Y has a higher average for desserts and meals eaten out per month and it also has a lower standard of deviation for desserts. This means that Site Y has more consistancy in the number of desserts eaten out than site x. However, Site X has a lower standard of deviation for meals and it also has a a higher maximum number of desserts eaten out. Site Y is significantly lower than Site X in standard deviation of meals but it is not far behind on highest number of desserts eaten out. Site Y also has higher numbers in the lowest number of meals eaten out. Overall, Site Y is the better location. In most categories it is ahead and in the few that it is behind, Site Y is not behind by much. Site Y should be further analysed Site Y Respondents Respondents with Income at or above $75,000 Respondents Who Eat Less than Five Desserts Meals Eaten Out by Respondents with Income at or above $75,000 Desserts Eaten Out by Respondents Age 26-30 Desserts Eaten Out by Respondents Age 30-35 107 26 46 168 98 167

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Ohio State - CS&E - 200
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