BUQU1230Assignment Dilraj kaur(100421008)

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Alexander College *

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100

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Statistics

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Apr 3, 2024

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xlsx

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77

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First Name Dilraj Last Name Kaur Student ID 100421008 Mark
Question 1 of 6 PINK CELLS FOR USE OF INSTRUCTOR ONLY Instructor mark out of 20: 0 a) Indicate whether the following variables are categorical or numerical. Gender categorical Income numerical Education categorical Marital Status categorical b) Are the arithmatic operation suitable for variable "Gender"? Why? d) Show the percent cumulative frequency distribution for "km". Use the same groupd The dataset shown below includes the data gathered in ExcellentLifeFitness Center in Education (in years), Marital status, Gender and Annual income were recorded. Also th answers were put in the column "km". Answer the following questions based on the dataset. No, the arithmatic mean is not suitable for variable gender as gender classified as a qu used to calcuate quantative data or numerical variable. c) Construct a frequency distribution for "km". Group the data into 5 classes. Enter the cell number of the top left corner of your table in the box.
e) What is the suitable graphical representation chart for "km"? histogram with km o f) Construct a graphical representaiton for the distribution of the "km". Use the same c g) Is the data values corresponding to variable "km" right-skewed or left-skewed? Wha Right-skewed or Left-Skewed Right-skewed skewness highly i) Construct a cross-tabulation to show the relationship between the "km" and "Marita h) Construct a graphical representaiton for the cumulative frequency distribution of "k of the graph.
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Index Age Gender 1 19 Male 18 2 18 Male 21 3 19 Female 18 4 19 Male 18 5 20 Male 18 6 20 Female 18 7 21 Female 14 8 21 Male 16 9 21 Male 18 10 21 Female 18 11 22 Male 16 12 22 Female 18 13 22 Female 16 14 22 Female 16 15 23 Male 18 16 23 Male 21 17 23 Female 18 18 23 Male 16 19 23 Female 18 20 23 Female 18 21 23 Male 14 22 23 Male 16 23 24 Female 16 24 24 Female 16 25 24 Male 14 26 24 Male 13 27 24 Female 16 28 25 Female 14 29 25 Male 14 30 25 Female 14 31 25 Female 14 32 25 Male 16 33 25 Female 16 34 25 Male 16 35 26 Female 14 36 26 Female 16 37 26 Male 16 38 26 Male 16 39 26 Female 16 40 26 Male 16 41 26 Male 16 Education (years)
42 27 Female 14 43 27 Male 16 44 27 Female 14 45 28 Female 14 46 28 Female 16 47 28 Male 14 48 28 Female 14 49 28 Male 14 50 28 Female 16 51 29 Male 18 52 29 Female 14 53 29 Female 16 54 30 Male 14 55 30 Male 14 56 31 Male 14 57 31 Female 14 58 32 Female 14 59 32 Male 14 60 33 Female 16 61 33 Female 16 62 34 Male 16 63 34 Female 16 64 35 Male 16 65 35 Female 16 66 35 Female 18 67 36 Male 12 68 37 Female 16 69 38 Male 16 70 38 Female 14 71 38 Male 14 72 38 Male 16 73 39 Male 16 74 40 Male 16 75 41 Male 16 76 43 Male 16 77 44 Female 16 78 46 Female 16 79 47 Male 16 80 50 Female 16 81 19 Male 14 82 20 Male 14 83 20 Female 14 84 20 Male 14 85 21 Female 14 86 21 Male 16 87 21 Male 12 88 23 Male 14
89 23 Male 14 90 23 Female 16 91 23 Male 16 92 23 Female 16 93 23 Female 14 94 23 Male 16 95 24 Female 14 96 24 Male 14 97 24 Female 16 98 25 Female 14 99 25 Female 14 100 25 Male 16 101 25 Female 14 102 25 Male 14 103 25 Female 14 104 25 Male 14 105 25 Male 14 106 25 Male 16 107 25 Female 14 108 25 Male 14 109 26 Female 16 110 26 Female 16 111 26 Male 16 112 27 Male 14 113 29 Female 14 114 30 Female 14 115 30 Female 13 116 31 Male 16 117 31 Female 16 118 31 Female 18 119 32 Male 16 120 32 Male 16 121 33 Male 13 122 33 Female 16 123 33 Male 16 124 33 Female 16 125 33 Female 18 126 34 Female 16 127 34 Male 16 128 34 Male 15 129 35 Female 14 130 35 Male 16 131 35 Female 16 132 35 Male 16 133 37 Female 16 134 38 Female 16 135 38 Male 16
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136 40 Female 16 137 40 Female 16 138 40 Male 16 139 45 Male 16 140 48 Male 16 141 22 Male 14 142 22 Male 16 143 22 Male 18 144 23 Male 16 145 23 Female 18 146 23 Male 16 147 24 Male 16 148 24 Male 18 149 24 Female 16 150 24 Male 16 151 25 Male 16 152 25 Male 16 153 25 Female 18 154 25 Male 18 155 25 Male 18 156 25 Male 18 157 25 Male 20 158 26 Female 21 159 26 Male 16 160 27 Male 16 161 27 Male 14 162 27 Male 15 163 28 Female 14 164 28 Male 12 165 28 Male 13 166 29 Male 14 167 29 Male 14 168 30 Female 13 169 30 Male 15 170 30 Male 15 171 31 Male 14 172 33 Female 14 173 34 Male 16 174 35 Male 14 175 38 Male 16 176 40 Male 16 177 42 Male 14 178 45 Male 16 179 47 Male 16 180 48 Male 18 181 40 Male 16 182 42 Female 14
183 45 Male 16 184 47 Female 16 185 48 Male 18 186 48 Male 16 187 22 Male 14 188 22 Male 16 189 22 Male 18 190 23 Male 16 191 32 Male 16 192 32 Male 16 193 19 Male 18 194 20 Male 18 195 20 Female 18 196 21 Female 14 197 21 Male 16 198 33 Female 18 199 34 Female 16 200 34 Male 16
Cell Number I104 d as part c. Vancouver. 200 customers of the Fitness center were surveyed and their hey were asked how much they walk or run in kilometres per month and their ualitative data and arithmatic operation such as mean, median and mode are
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Cell Number M104 on X axis and frequency on y axis. classes as part c. Enter the cell number of the top left corner of the graph. Cell Number H111 at is the skewness on "km"? Cell Number H124 al" status of the customers of the fitness center who have been surveyed. km". Use the same classes as part c. Enter the cell number of the top left corner
Cell Number I142 Marital Status Income Km Single 30518.2 171 Partnered 33019.6 115 Partnered 31768.9 101 Single 34270.3 129 Partnered 36771.7 72 Single 34270.3 101 Km Single 36771.7 115 32-141 Single 34270.3 129 142-251 Partnered 36771.7 216 252-361 Single 39273.1 129 362-471 Partnered 38022.4 129 472-581 Partnered 36771.7 101 Total Result Single 38022.4 115 Single 36771.7 115 Partnered 40523.8 72 Partnered 43025.2 115 Partnered 35521 158 Single 41774.5 144 Single 40523.8 173 Partnered 35521 58 Single 40523.8 173 Single 43025.2 144 Single 44275.9 144 Partnered 46777.3 288 Single 48028 173 Single 44275.9 72 Partnered 49278.7 115 Partnered 51780.1 115 Single 48028 86 Single 56782.9 72 Partnered 41774.5 129 Partnered 43025.2 173 Partnered 43025.2 72 Partnered 45526.6 129 Partnered 46777.3 173 Single 55532.2 173 Partnered 56782.9 72 Partnered 54281.5 129 Single 38022.4 101 Partnered 46777.3 201 Partnered 53030.8 129 32-141 142-251 252-361 0 20 40 60 80 100 120 140 160 180 200 1 2 0 20 40 60 80 100 120 140 160 180 200 c
Single 48028 101 Partnered 58033.6 129 Partnered 48028 86 Partnered 49278.7 86 Count of Km Partnered 55532.2 101 Marital Status Partnered 55532.2 158 Partnered Single 58033.6 144 Single Partnered 58033.6 173 Total Result Partnered 54281.5 86 Partnered 73042 129 Single 49278.7 58 Single 53030.8 144 Single 49278.7 216 Single 58033.6 129 Single 58033.6 72 Single 48028 72 Single 49278.7 173 Partnered 55532.2 129 Single 59284.3 58 Single 49278.7 129 Partnered 54281.5 259 Partnered 55532.2 101 Partnered 51780.1 129 Partnered 64287.1 144 Partnered 71791.3 129 Partnered 46777.3 144 Partnered 39273.1 129 Single 49278.7 115 Partnered 58033.6 86 Partnered 55532.2 86 Single 60535 115 Partnered 63036.4 201 Partnered 65537.8 101 Partnered 58033.6 158 Single 56782.9 101 Single 61785.7 115 Partnered 64287.1 72 Partnered 60535 144 Partnered 69289.9 101 Partnered 33019.6 97 Partnered 34270.3 81 Partnered 35521 162 Single 40523.8 146 Partnered 35521 324 Partnered 35521 65 Single 34270.3 81 Single 38022.4 146
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Single 40523.8 130 Partnered 48028 146 Partnered 48028 195 Single 45526.6 114 Single 43025.2 81 Partnered 48028 97 Single 43025.2 130 Partnered 51780.1 162 Partnered 53030.8 162 Partnered 48028 130 Single 45526.6 195 Single 55532.2 65 Partnered 50529.4 162 Single 48028 146 Partnered 45526.6 97 Single 48028 259 Single 45526.6 162 Partnered 53030.8 81 Partnered 48028 65 Single 51780.1 195 Partnered 48028 130 Single 53030.8 195 Partnered 54281.5 162 Single 48028 81 Single 54281.5 146 Single 61785.7 114 Partnered 49278.7 162 Single 55532.2 146 Partnered 54281.5 97 Single 69742 32 Partnered 64287.1 195 Partnered 56782.9 146 Partnered 56782.9 259 Partnered 53030.8 130 Single 54281.5 146 Partnered 56782.9 146 Single 50529.4 114 Partnered 69289.9 146 Partnered 63036.4 130 Partnered 71791.3 130 Partnered 55532.2 81 Single 56782.9 81 Partnered 53030.8 97 Single 56782.9 146 Partnered 51780.1 130 Single 66788.5 130 Partnered 63036.4 162
Partnered 65537.8 130 Partnered 61785.7 130 Single 69289.9 146 Partnered 58033.6 65 Single 61785.7 97 Partnered 51523.8 162 Partnered 58259.1 184 Partnered 51411.6 306 Partnered 62367.6 214 Partnered 56889.6 153 Single 51411.6 153 Partnered 65106.6 153 Single 60998.1 122 Single 55520.1 306 Partnered 52781.1 245 Single 52781.1 184 Partnered 66476.1 245 Single 65106.6 306 Single 69215.1 153 Partnered 76062.6 275 Partnered 81540.6 367 Single 80171.1 260 Single 74693.1 153 Partnered 69215.1 275 Partnered 89757.6 245 Partnered 95235.6 153 Single 97974.6 153 Partnered 99344.1 275 Partnered 82910.1 275 Partnered 95235.6 230 Partnered 55519 275 Partnered 92496.6 459 Single 97974.6 428 Partnered 111669.6 245 Partnered 107561.1 230 Partnered 96605.1 398 Single 103452.6 306 Single 99344.1 230 Partnered 99344.1 551 Single 113039.1 230 Partnered 89757.6 306 Partnered 96605.1 306 Partnered 97974.6 245 Partnered 113039.1 184 Partnered 103058.8 275 Partnered 83757.6 306 Single 93605.1 306
Single 93974.6 428 Partnered 133039.1 245 Partnered 133058.8 230 Single 61785.7 97 Partnered 51523.8 162 Partnered 58259.1 184 Partnered 51411.6 306 Partnered 62367.6 214 Partnered 64287.1 195 Partnered 56782.9 146 Single 34270.3 129 Partnered 36771.7 72 Single 34270.3 101 Single 36771.7 115 Single 34270.3 129 Single 50529.4 114 Partnered 69289.9 146 Partnered 63036.4 130
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2 marks 2 marks 4 marks
2 marks 2 marks 2 marks 1 marks 2 marks
3 marks Count of Km cumilative frequenpercent cf 95 95 0.475 78 173 0.865 21 194 0.97 5 199 0.995 1 200 1 200 1 362-471 472-581 Total Result Total Count of Km 3 4 5 cumilative frequency
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Km 32-141 142-251 252-361 362-471 472-581 Total Result 53 47 15 3 1 119 42 31 6 2 81 95 78 21 5 1 200
Question 2 of 6 PINK CELLS FOR USE OF INSTRUCTOR ONLY Instructor mark out of 20: 0 The US Department of Energy's Fuel Economy Guide provides fuel efficiency data for cars. A portion of a) Do these data represent experimental or observational data? Explain and justify your answer. b) Describe the population that is represented by this sample. Justify your answer. c) How many variables are in this data set? d) How many data values are in this data set? cell number I55 covariance 26.265282060584 correlation coefficient 0.8911149229403 f) Which of the variable(s) are numerical? Displacement, City Mpg, Hwy Mpg are numerical variable. The data represent the observational data because it is collected on the basis of realit. This data shows driving circumstances. This sample represent the population of the drivers, fuel type, mpg level, cylinder level. The sample da consumption on the different vehicles. e) Make a scatter plot to show the relationship between "City MPG" and "Hwy MPG". Enter the cell nu covariance and correlation coefficient between "City MPG" and "Hwy MPG"?
Car Displacement Cylinders Drive 1 1 2.0 4 F 2 1 2.0 4 A 3 1 2.0 4 A 4 1 3.0 6 A 5 1 3.0 6 A 6 1 6.0 12 A 7 1 4.4 8 R 8 1 4.4 8 R 9 1 3.6 6 R 10 1 3.6 6 R 11 1 3.6 6 R 12 1 6.2 8 R 13 1 6.2 8 R 14 1 2.4 4 F 15 1 3.6 6 F 16 1 2.0 4 F 17 1 2.0 4 F 18 1 2.0 4 F 19 1 2.0 4 F 20 1 1.8 4 F 21 1 1.8 4 F 22 1 2.4 4 F 23 1 1.8 4 F 24 1 1.5 4 F 25 1 1.6 4 F 26 1 1.6 4 F 27 1 2.5 4 F 28 1 2.5 4 F 29 1 4.7 8 R 30 1 6.7 12 R 31 1 6.7 12 R 32 1 2.0 4 F 33 1 2.0 4 F 34 1 2.0 4 A 35 1 2.0 4 A 36 1 2.0 4 F Size (1=Compact, 2=Midsize, 3=Large)
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37 1 2.0 4 F 38 1 2.5 4 F 39 1 2.5 4 F 40 1 2.0 4 F 41 1 2.0 4 F 42 1 3.6 6 A 43 1 2.5 5 F 44 1 2.5 5 F 45 1 2.0 4 F 46 1 2.0 4 F 47 1 2.0 4 F 48 1 2.0 4 F 49 1 2.0 4 F 50 1 2.0 4 F 51 1 2.5 5 F 52 1 2.5 5 F 53 1 2.5 5 F 54 1 2.5 5 F 55 1 3.0 6 A 56 1 2.5 5 F 57 2 3.5 6 F 58 2 3.7 6 A 59 2 3.7 6 A 60 2 2.0 4 F 61 2 2.0 4 F 62 2 3.0 6 A 63 2 3.0 6 A 64 2 4.2 8 A 65 2 6.0 12 A 66 2 2.4 4 F 67 2 3.6 6 F 68 2 3.6 6 A 69 2 2.0 4 F 70 2 2.0 4 F 71 2 2.4 4 F 72 2 3.0 6 R 73 2 3.0 6 R 74 2 3.6 6 R 75 2 6.2 8 R 76 2 6.2 8 R 77 2 3.0 6 A 78 2 1.4 4 F 79 2 1.4 4 F
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80 2 1.8 4 F 81 2 1.8 4 F 82 2 1.4 4 F 83 2 1.4 4 F 84 2 2.4 4 F 85 2 2.4 4 F 86 2 3.6 6 F 87 2 2.4 4 F 88 2 2.4 4 F 89 2 3.6 6 F 90 2 2.4 4 F 91 2 2.4 4 F 92 2 3.6 6 F 93 2 6.4 8 R 94 2 3.5 6 A 95 2 2.5 4 F 96 2 2.5 4 F 97 2 2.5 4 F 98 2 3.5 6 F 99 2 3.0 6 F 100 2 2.5 4 F 101 2 2.5 4 F 102 2 1.8 4 F 103 2 1.8 4 F 104 2 3.5 6 R 105 2 3.7 6 F 106 2 3.7 6 A 107 2 5.6 8 R 108 2 5.6 8 A 109 2 3.5 6 A 110 2 3.5 6 F 111 2 2.5 4 F 112 2 2.5 4 F 113 2 2.5 4 F 114 2 3.7 6 F 115 2 2.3 4 F 116 2 2.5 4 F 117 2 3.5 6 F 118 2 2.0 4 F 119 2 2.0 4 F 120 2 2.5 4 F 121 2 2.5 4 F 122 2 2.0 4 F
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123 2 2.0 4 F 124 2 3.0 6 A 125 2 3.2 6 F 126 3 4.2 8 A 127 3 6.3 12 A 128 3 3.0 6 R 129 3 3.0 6 R 130 3 4.4 8 R 131 3 4.4 8 A 132 3 4.4 8 R 133 3 4.4 8 A 134 3 4.4 8 R 135 3 4.4 8 A 136 3 4.4 8 R 137 3 4.4 8 A 138 3 3.6 6 F 139 3 3.6 6 F 140 3 5.0 8 R 141 3 3.8 6 R 142 3 4.6 8 R 143 3 5.0 8 R 144 3 5.0 8 R 145 3 2.0 4 F 146 3 2.4 4 F 147 3 2.4 4 F 148 3 6.7 12 R 149 3 6.7 12 R
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f the data is shown at the bottom of this worksheet. 4 marks 4 marks 3 2 marks 8 2 marks 4 marks 4 marks s how everyday how much car perform in different ata aim to provide the useful information on the fuel umber of the top left corner of the graph. What is the
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Fuel Type City MPG Hwy MPG covariance P 22 30 26.26528206 P 21 29 correlation coffiecient P 21 31 0.891114923 P 18 28 P 18 27 P 12 19 P 16 24 P 15 22 R 19 30 R 18 29 R 17 28 R 15 24 R 16 24 R 18 29 R 19 29 R 28 38 R 27 37 R 26 36 R 28 40 R 28 39 R 28 36 P 22 31 R 29 41 R 44 44 R 30 40 R 30 40 R 22 29 R 20 28 P 17 25 P 11 18 P 11 18 R 18 28 R 20 33 R 18 29 R 20 30 R 19 29 5 10 15 20 25 0 5 10 15 20 25 30 35 40 45 50 Hwy MPG a
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R 20 33 R 23 31 R 23 31 P 22 31 P 21 31 P 17 25 R 24 31 R 23 33 P 24 33 P 21 31 R 23 29 P 24 32 R 24 34 P 22 33 R 24 31 R 23 33 R 21 30 R 21 29 R 18 26 R 20 30 P 20 29 P 18 26 P 17 25 P 25 33 P 25 33 P 19 28 P 18 28 P 18 28 P 11 19 R 25 36 R 17 27 R 16 26 R 18 29 R 20 32 R 25 36 R 18 27 R 16 26 R 18 27 P 12 18 P 14 19 R 18 26 R 26 38 R 26 38
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R 22 35 R 25 36 R 26 39 R 28 42 R 22 33 R 22 33 R 17 26 R 21 30 R 20 31 R 19 29 R 21 30 R 20 31 R 19 29 P 14 23 R 17 25 R 23 33 R 22 30 R 22 29 R 18 27 R 20 28 R 41 36 R 22 32 R 29 40 R 29 40 P 27 32 P 18 26 P 17 24 P 16 24 P 16 23 R 17 25 R 18 27 R 41 36 R 22 31 R 21 30 R 18 27 P 18 25 R 23 32 R 20 27 R 27 34 R 24 31 R 24 30 P 21 28 R 18 28
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R 20 33 R 18 26 R 20 29 P 18 28 P 14 21 P 17 25 P 17 25 P 15 22 P 14 20 P 14 22 P 14 20 P 14 22 P 14 20 P 14 22 P 14 20 R 18 30 R 18 30 P 15 23 R 19 29 P 17 26 P 17 26 P 16 25 R 22 34 R 24 35 R 24 35 P 11 18 P 11 18
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mean 24.7885906 30 35 40 45 50 and city MPG
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Question 3 of 6 PINK CELLS FOR USE OF INSTRUCTOR ONLY Instructor mark out of 20: 0 b) Calculate the mode and median for "Balance". mode 0 median 253 c) What is the interquartile range for Balance? Q3:839.5, Q2: 253, Q1: 79.75, (J76) d) Name and calculate three measures of variability (dispersion) for Variable Balance. Measure 1 Variance Value 5637289 Measure 2 standard dev. Value 2734.2751 Measure 3 mean Value 948.418 The following table contains data for 500 customers of a bank. Default is equal to 1, if the customer h payments and 0, if all the payments were on time. Housing loan is equal to 1, if the customer has a m and 0 otherwise. Personal loan is equal to 1, if the customer has a personal loan with bank and 0 othe the amount of money in customer's chequing account. Duration shows the number of days customer with this bank. a) Construct a frequency distribution for the education of the customers of the bank. Represent the f distribution of the education in a Pie Chart and entre the cell number of the tope left of the graph he
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25% Age Job Marital Education Default 58 management married post-secondary 0 44 technician single secondary 0 33 entrepreneur married secondary 0 47 blue-collar married secondary 0 33 unknown single secondary 0 35 management married post-secondary 0 28 management single post-secondary 0 42 entrepreneur divorced post-secondary 1 58 retired married primary 0 43 technician single secondary 0 41 admin. divorced secondary 0 29 admin. single secondary 0 53 technician married secondary 0 58 technician married secondary 0 57 services married secondary 0 51 retired married primary 0 45 admin. single secondary 0 57 blue-collar married primary 0 60 retired married primary 0 33 services married secondary 0 28 blue-collar married secondary 0 56 management married post-secondary 0 32 blue-collar single primary 0 25 services married secondary 0 40 retired married primary 0 44 admin. married secondary 0 39 management single post-secondary 0 52 entrepreneur married secondary 0 46 management single secondary 0 36 technician single secondary 0 57 technician married secondary 0 e) The management of the bank wants to contact those customers with high account balances. For th whose account balance is among the top 15%. Above what level would this be?
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49 management married post-secondary 0 60 admin. married secondary 0 59 blue-collar married secondary 0 51 management married post-secondary 0 57 technician divorced secondary 0 25 blue-collar married secondary 0 53 technician married secondary 0 36 admin. divorced secondary 0 37 admin. single secondary 0 44 services divorced secondary 0 50 management married secondary 0 60 blue-collar married secondary 0 54 retired married secondary 0 58 retired married secondary 0 36 admin. single primary 0 58 self-employed married post-secondary 0 44 technician married secondary 0 55 technician divorced secondary 0 42 services married secondary 0 27 services married secondary 0 48 admin. married secondary 0 59 admin. married secondary 0 46 technician married post-secondary 0 38 admin. divorced secondary 0 43 management divorced post-secondary 0 38 admin. divorced post-secondary 0 23 student single secondary 0 34 services married secondary 0 38 admin. married secondary 0 37 blue-collar married secondary 0 25 admin. single secondary 0 48 blue-collar married secondary 0 49 blue-collar single secondary 0 38 admin. single secondary 0 43 blue-collar married primary 0 33 management married post-secondary 0 55 blue-collar married secondary 0 38 blue-collar married secondary 0 49 services married secondary 0 40 management married secondary 0 43 admin. married secondary 0 38 blue-collar married secondary 0 58 services married secondary 0
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57 technician married secondary 0 32 unemployed married secondary 0 56 management married post-secondary 0 58 blue-collar divorced secondary 0 60 retired divorced secondary 0 37 technician married post-secondary 0 46 technician divorced post-secondary 0 27 admin. married secondary 0 43 blue-collar married secondary 0 32 technician single secondary 0 40 admin. single secondary 0 38 admin. married secondary 0 34 blue-collar married secondary 0 47 blue-collar married primary 0 42 housemaid married primary 0 48 technician married secondary 0 29 self-employed single post-secondary 0 50 services married secondary 0 52 technician married secondary 0 50 management married post-secondary 0 58 retired married post-secondary 0 46 blue-collar divorced primary 0 38 technician married secondary 0 46 blue-collar married secondary 0 32 services single secondary 0 51 blue-collar married primary 0 39 admin. single secondary 0 48 admin. married secondary 0 36 entrepreneur married post-secondary 0 30 blue-collar divorced secondary 0 56 retired married secondary 0 29 technician married secondary 0 40 blue-collar divorced secondary 0 36 services married secondary 0 37 blue-collar single secondary 0 35 admin. married secondary 0 35 blue-collar married primary 1 47 services married primary 0 31 services married secondary 0 56 retired single primary 0 57 technician married secondary 0 36 blue-collar married secondary 0 45 self-employed divorced secondary 0
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47 blue-collar married secondary 0 29 technician single post-secondary 0 57 services married secondary 0 45 blue-collar married primary 0 31 blue-collar single primary 0 31 management divorced post-secondary 0 37 technician single post-secondary 0 30 technician single post-secondary 0 58 services divorced secondary 0 33 services married secondary 0 39 blue-collar married primary 0 33 blue-collar single primary 0 34 services married secondary 0 36 services divorced secondary 0 37 services single secondary 0 35 blue-collar married secondary 0 55 retired married secondary 0 34 management single post-secondary 0 40 management divorced post-secondary 0 42 blue-collar single primary 0 37 blue-collar married secondary 0 42 management married post-secondary 0 35 technician single secondary 0 44 technician divorced secondary 0 30 services single secondary 0 45 entrepreneur married secondary 0 35 blue-collar single secondary 1 36 admin. divorced secondary 0 49 blue-collar married secondary 0 31 blue-collar single secondary 0 31 technician single secondary 0 39 blue-collar married secondary 0 37 services single secondary 0 33 blue-collar married primary 0 37 management married post-secondary 0 42 services married secondary 0 56 blue-collar married secondary 0 37 admin. single secondary 0 28 housemaid divorced primary 0 43 blue-collar married secondary 1 32 blue-collar single primary 0 36 entrepreneur single secondary 0 33 unemployed single secondary 0
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39 admin. married secondary 0 28 blue-collar married secondary 0 26 technician single secondary 0 40 technician married post-secondary 0 44 housemaid married secondary 0 34 management married post-secondary 0 47 blue-collar married primary 0 55 blue-collar single post-secondary 0 48 blue-collar divorced primary 0 36 blue-collar single primary 0 31 management single post-secondary 0 30 management single post-secondary 0 46 blue-collar married primary 0 30 admin. single secondary 0 32 blue-collar single secondary 0 48 blue-collar single secondary 0 48 admin. single secondary 0 36 services single post-secondary 0 41 admin. single secondary 0 49 admin. single primary 0 26 blue-collar married secondary 1 38 management married secondary 0 27 student single secondary 0 51 retired married secondary 0 33 admin. divorced secondary 0 53 unemployed married secondary 0 36 technician married secondary 0 48 technician divorced secondary 0 27 admin. single secondary 0 42 technician married secondary 0 61 blue-collar married primary 0 31 self-employed married post-secondary 0 37 blue-collar single secondary 0 34 entrepreneur married post-secondary 0 55 technician married secondary 0 24 services married secondary 0 41 technician married secondary 0 34 blue-collar single primary 0 29 blue-collar married secondary 0 42 blue-collar single primary 0 45 services married secondary 0 49 management married secondary 0 26 blue-collar single primary 0
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35 technician single secondary 0 49 services married secondary 0 34 management married post-secondary 0 57 admin. divorced secondary 0 33 blue-collar married primary 1 60 retired married primary 0 38 technician married secondary 0 25 services married secondary 0 51 management single post-secondary 0 26 blue-collar single secondary 0 40 retired married post-secondary 0 26 services single secondary 0 36 services married secondary 0 59 blue-collar married secondary 0 26 blue-collar single secondary 0 49 self-employed married post-secondary 0 33 blue-collar married primary 0 31 blue-collar married secondary 0 59 management single secondary 0 38 entrepreneur married secondary 0 37 services single secondary 0 31 unemployed single post-secondary 0 54 retired married secondary 0 41 blue-collar married primary 0 44 management married post-secondary 0 28 admin. single secondary 0 22 student single secondary 0 31 blue-collar married primary 0 36 services married secondary 0 37 admin. divorced secondary 0 54 admin. married secondary 0 28 management single post-secondary 0 42 blue-collar married primary 0 35 technician single post-secondary 0 29 admin. married secondary 0 59 blue-collar single primary 0 46 blue-collar married secondary 0 32 self-employed single secondary 0 43 management divorced post-secondary 0 41 blue-collar married primary 0 31 admin. married secondary 0 26 services single secondary 0 29 blue-collar married primary 1
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31 services married secondary 0 37 blue-collar divorced secondary 0 35 technician married secondary 0 31 technician single post-secondary 0 30 blue-collar married secondary 0 29 blue-collar single primary 0 29 admin. divorced secondary 0 39 blue-collar single secondary 0 31 blue-collar single secondary 0 27 management single post-secondary 0 22 admin. single secondary 0 31 management single secondary 0 39 blue-collar single secondary 0 25 admin. single secondary 0 56 blue-collar married secondary 0 49 management divorced post-secondary 1 50 management married post-secondary 0 47 admin. single secondary 0 45 blue-collar married primary 0 44 unemployed married secondary 0 51 blue-collar married post-secondary 0 34 blue-collar married secondary 0 25 management married post-secondary 0 30 blue-collar married primary 0 39 unemployed divorced secondary 0 25 student married post-secondary 0 34 admin. divorced secondary 0 25 blue-collar single secondary 0 33 blue-collar married secondary 0 44 services divorced secondary 0 55 retired married secondary 0 54 admin. married secondary 0 43 unemployed married secondary 0 35 blue-collar married secondary 0 27 services single secondary 0 42 blue-collar married primary 0 40 technician married secondary 0 31 blue-collar married primary 0 29 technician married post-secondary 0 49 technician married secondary 0 59 retired divorced primary 0 37 management married post-secondary 0 60 blue-collar married secondary 0
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25 technician single secondary 0 28 admin. married secondary 0 40 services single secondary 0 43 technician single post-secondary 0 51 blue-collar married primary 1 28 admin. single secondary 0 54 management married primary 0 37 blue-collar married secondary 0 35 self-employed married post-secondary 0 26 management divorced post-secondary 1 55 services single secondary 0 57 unemployed married secondary 0 39 blue-collar divorced secondary 0 36 services married post-secondary 0 35 management single post-secondary 0 33 blue-collar married primary 0 40 services single secondary 0 31 technician married secondary 0 32 management single post-secondary 0 27 management single post-secondary 0 31 services single secondary 0 28 blue-collar single secondary 1 23 admin. single secondary 0 27 blue-collar single secondary 0 23 admin. single secondary 0 30 blue-collar married secondary 0 34 blue-collar divorced secondary 0 55 blue-collar divorced primary 0 57 management married primary 0 59 retired divorced secondary 0 20 services single secondary 0 30 services married secondary 1 41 admin. married secondary 0 37 services single secondary 0 31 admin. divorced secondary 0 39 management single post-secondary 0 28 blue-collar married secondary 0 44 blue-collar married primary 0 31 technician married secondary 0 28 blue-collar married secondary 0 51 technician married secondary 0 34 management married post-secondary 0 24 technician single post-secondary 0
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29 self-employed single post-secondary 0 50 management married primary 0 21 blue-collar single secondary 0 29 blue-collar single secondary 0 26 blue-collar single secondary 0 26 admin. single secondary 0 21 blue-collar single secondary 0 23 blue-collar single primary 0 25 services single secondary 0 40 blue-collar married primary 0 39 admin. divorced secondary 0 25 blue-collar single secondary 0 26 technician married post-secondary 0 57 technician married secondary 0 61 retired married primary 0 34 blue-collar married secondary 0 47 unemployed married secondary 0 31 self-employed married secondary 0 45 blue-collar married secondary 0 33 technician single post-secondary 0 27 technician married secondary 0 41 unemployed married primary 0 58 technician married secondary 0 45 management married post-secondary 0 49 self-employed married post-secondary 0 42 blue-collar married secondary 0 52 blue-collar married secondary 0 52 services married secondary 0 49 retired married primary 0 59 retired married secondary 0 54 management married primary 0 48 blue-collar married primary 0 31 admin. married secondary 0 42 services married primary 0 40 blue-collar married secondary 0 56 self-employed married post-secondary 0 45 management married post-secondary 0 53 technician divorced primary 0 31 admin. married secondary 0 42 management married post-secondary 0 51 technician married secondary 0 52 management married post-secondary 0 48 management married primary 0
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28 management single post-secondary 0 34 technician single secondary 0 50 admin. married secondary 0 46 blue-collar married primary 0 54 blue-collar married secondary 0 43 technician divorced secondary 0 55 blue-collar divorced secondary 0 47 blue-collar married primary 0 43 entrepreneur married secondary 0 45 technician married secondary 0 46 blue-collar married secondary 0 39 technician married secondary 1 26 student single secondary 0 40 blue-collar married secondary 0 48 blue-collar divorced primary 0 53 technician divorced secondary 0 40 technician married secondary 0 54 blue-collar married secondary 0 46 technician married secondary 0 47 technician divorced secondary 0 50 blue-collar divorced secondary 0 59 retired divorced primary 0 44 services single secondary 0 42 management married post-secondary 0 52 management married secondary 0 30 management single post-secondary 0 46 blue-collar single secondary 0 45 management married post-secondary 0 29 admin. single secondary 0 53 blue-collar married primary 0 55 admin. married secondary 0 45 management single post-secondary 0 35 technician married secondary 0 52 blue-collar single secondary 0 40 management married post-secondary 0 42 admin. married secondary 0 41 blue-collar single primary 0 42 admin. divorced secondary 0 40 admin. married secondary 0 57 management married post-secondary 0 49 admin. single secondary 0 30 management married secondary 0 52 technician married secondary 0
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41 housemaid married primary 0 47 services married secondary 0 46 admin. married secondary 0 27 services married secondary 0 46 services married secondary 0 53 entrepreneur married post-secondary 0 51 retired married secondary 0 47 technician married secondary 0 60 retired married secondary 0 47 management divorced post-secondary 0 48 services married secondary 0 45 blue-collar married secondary 0 52 blue-collar divorced primary 0 53 retired married post-secondary 0 54 technician married post-secondary 0 46 admin. divorced secondary 0 48 admin. divorced secondary 0 43 retired married secondary 0 42 unemployed married post-secondary 0 56 retired married secondary 0 48 services divorced secondary 0 45 blue-collar married primary 0 51 admin. married primary 0 43 self-employed single secondary 0 42 technician single post-secondary 0 44 management married post-secondary 0 40 services married secondary 0 57 management married secondary 0 42 technician single secondary 0 58 services married secondary 0 40 services divorced secondary 0 49 services divorced secondary 0 46 management single secondary 0 54 technician divorced secondary 0 60 entrepreneur married post-secondary 0 42 blue-collar married secondary 0 43 blue-collar married primary 0 41 self-employed married secondary 0 60 retired divorced secondary 0 51 entrepreneur married post-secondary 0 48 blue-collar married secondary 0 41 blue-collar divorced primary 0 50 blue-collar single secondary 0
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41 blue-collar married primary 0 60 retired married secondary 0 54 blue-collar married secondary 0 49 entrepreneur married post-secondary 0 33 services single secondary 0 55 housemaid married primary 0 31 blue-collar single secondary 0 33 management married post-secondary 0 42 admin. divorced secondary 0 31 admin. divorced post-secondary 0 41 blue-collar married secondary 0 43 admin. single secondary 0 36 services married secondary 0 48 management married post-secondary 0 31 self-employed single post-secondary 0 45 technician married secondary 0 43 blue-collar married secondary 0 42 admin. divorced secondary 0 40 services married secondary 0 29 blue-collar married secondary 0 26 blue-collar married secondary 0 53 unemployed married secondary 0 31 technician divorced secondary 0 25 admin. married secondary 0 26 admin. single secondary 0 36 admin. single secondary 0 43 services divorced secondary 0 45 admin. divorced secondary 0 56 management divorced post-secondary 0 51 technician married secondary 0 47 blue-collar married primary 0 44 housemaid married primary 1 31 services married secondary 0 46 management married secondary 0 32 management single post-secondary 0 31 admin. married secondary 0 45 blue-collar married primary 0 31 unemployed single secondary 0 40 technician married secondary 0
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4 marks I54 4 marks (J72) (J73) 4 marks (J81) 6 marks has had late mortgage with bank erwise. Balance is rs has been working frequency ere.
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2 marks Balance Housing Loa Personal Loan 2143 1 0 29 1 0 2 1 1 1506 1 0 1 0 0 231 1 0 447 1 1 2 1 0 121 1 0 593 1 0 Education Count of Education 270 1 0 post-secondary 96 390 1 0 primary 81 6 1 0 secondary 323 71 1 0 Total Result 500 162 1 0 229 1 0 13 1 0 mode 0 52 1 0 median 253 60 1 0 0 1 0 723 1 1 Q3 839.5 779 1 0 Q2 253 23 1 1 Q1 79.75 50 1 0 0 1 1 372 1 0 variance 5637288.70869339 255 1 0 113 1 1 246 1 0 standard deviation 2374.29751899238 265 1 1 839 0 1 mean 948.418 his paper they choose customers Total post-s prima second Total R
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378 1 0 39 1 1 0 1 0 10635 1 0 63 1 0 7 1 0 3 0 0 506 1 0 0 1 0 2586 1 0 49 1 0 104 1 0 529 1 0 96 1 0 171 1 0 364 1 0 0 1 0 0 0 0 1263 1 0 8 1 0 126 1 1 230 1 0 841 1 0 308 1 0 1 1 0 86 1 0 157 1 0 22 1 0 46 1 1 1293 0 0 122 1 0 131 1 0 143 1 0 393 0 0 98 1 0 0 1 0 224 1 0 757 1 0 245 1 1 8486 0 0 350 0 0 20 1 0 1667 1 1
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345 1 0 10 1 0 830 1 1 29 1 0 545 1 0 8730 1 0 477 1 0 4 1 0 1205 1 0 0 1 1 263 1 0 1 0 0 283 0 1 206 1 0 17 1 0 141 1 1 16 1 0 206 1 0 7 0 0 0 0 0 0 0 0 1927 1 0 284 1 0 1660 1 0 406 1 0 230 1 0 25 1 0 182 1 0 1169 1 0 251 1 1 0 1 0 8 0 0 139 1 0 184 1 0 238 1 0 0 0 0 0 1 0 222 1 0 414 1 0 223 1 0 197 0 0 251 1 0 139 1 0
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733 1 0 0 1 0 1 0 0 97 1 0 435 1 0 0 1 0 147 0 0 3 1 0 1109 1 1 404 1 0 981 1 0 95 1 0 302 1 0 290 1 1 259 1 0 527 1 1 102 1 0 872 1 0 490 1 0 19 1 0 16 1 0 386 1 0 539 1 0 329 1 0 174 1 0 68 1 0 532 1 0 0 1 0 64 1 0 1415 1 0 147 1 0 72 1 0 196 1 0 716 1 0 0 1 0 246 1 0 203 1 0 245 1 1 1 1 0 7 0 0 611 1 0 157 1 0 233 1 0
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419 1 1 134 1 0 2087 0 0 103 1 0 281 1 0 133 1 0 1865 1 0 325 1 0 18 1 0 49 1 0 7444 1 1 59 1 1 45 1 0 387 1 0 5 1 1 71 1 0 96 1 0 72 1 0 1715 1 0 181 1 0 20 1 0 65 1 0 81 1 0 226 1 1 1128 1 0 582 1 0 5611 1 0 177 1 0 181 1 0 0 1 0 734 1 0 322 1 0 134 1 0 10350 1 0 84 1 0 620 1 0 254 1 0 0 1 0 5903 1 0 134 1 1 1381 1 0 104 1 0 318 1 0
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2151 1 0 8 1 0 0 1 0 3058 1 0 744 1 0 2 1 0 32 1 0 55 1 1 417 1 0 153 1 0 794 0 0 187 1 0 335 1 0 1407 1 0 116 1 1 1842 1 0 329 1 0 428 1 0 181 1 0 2139 1 0 253 1 1 133 1 0 785 1 0 45 1 1 223 1 0 2831 1 0 2412 1 0 11 1 0 211 1 0 34 1 0 222 1 0 3285 1 0 67 1 0 670 1 0 0 1 0 96 1 0 3 1 0 123 1 0 443 1 0 406 1 0 535 0 0 302 1 0 43 1 0
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346 0 0 271 1 0 55 1 0 375 1 0 2 1 0 680 1 0 0 0 0 217 1 0 160 1 0 118 1 0 1 1 0 453 1 0 169 1 0 787 1 0 172 1 0 0 1 0 107 1 0 15 0 0 101 1 0 304 1 0 7816 1 0 0 1 0 784 1 1 2581 0 0 507 1 0 333 1 0 220 1 1 249 1 0 257 1 0 210 0 1 18722 1 0 42 1 0 210 1 0 325 0 0 123 1 0 25 1 0 66 1 0 0 1 1 409 1 0 4785 0 0 121 1 0 0 1 0 231 1 0
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1135 1 0 201 1 0 278 1 0 16 1 0 283 1 0 103 1 0 113 0 0 194 1 0 247 1 0 402 0 1 40 1 0 3867 1 0 36 1 0 2167 1 1 243 1 0 2 1 1 737 1 0 286 0 0 311 0 0 541 1 0 2963 1 0 871 1 0 5 1 0 71 1 0 281 1 0 173 1 0 383 1 0 39 1 0 1052 1 0 49 1 0 103 1 0 846 1 0 705 1 0 1950 1 0 253 1 0 595 1 0 185 1 1 353 1 0 2363 1 0 52 1 0 205 1 1 1557 1 1 596 1 0
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114 1 0 478 0 0 614 1 0 783 1 0 401 1 0 92 1 0 273 1 1 2594 1 0 382 1 0 166 1 0 141 1 0 250 1 0 3825 1 0 0 0 0 1060 1 0 185 1 1 955 1 0 263 1 0 4646 1 0 989 1 1 232 1 1 1483 1 0 7495 1 0 0 1 1 2199 1 0 476 1 0 148 1 0 3241 1 0 2665 1 0 1875 1 0 879 1 0 5154 1 0 393 1 0 5879 1 0 31 1 0 871 1 0 37378 1 0 1443 1 0 752 1 0 1093 1 0 573 1 1 258 0 0 247 1 1
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202 1 0 302 1 0 736 1 0 0 1 0 532 1 0 0 0 0 7378 0 0 4666 0 0 1516 1 0 0 1 1 6085 1 1 183 1 0 91 1 0 30 1 0 24 1 0 522 1 0 770 1 0 1288 1 0 1029 1 0 4135 1 0 204 1 1 1534 1 0 0 1 0 877 1 0 478 1 0 1130 1 0 2401 1 0 740 1 0 993 0 0 896 1 0 332 1 0 1088 0 0 51 1 0 1541 1 0 413 1 0 2656 1 0 1618 1 0 146 1 0 153 1 0 2440 1 0 2040 1 0 678 1 0 5006 1 0
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3291 1 0 543 1 0 4048 1 0 0 1 0 3269 1 0 420 1 0 0 0 0 201 1 0 2537 1 1 107 0 0 6127 1 0 4509 1 0 191 1 0 183 1 0 2883 1 1 2515 1 1 1108 1 0 56 1 1 1270 1 0 1894 1 0 0 1 1 2217 1 0 1330 1 0 3173 0 0 2157 1 1 1033 1 0 4157 1 0 3381 1 0 1882 1 0 0 1 0 1927 1 0 3649 1 1 244 1 0 1705 1 0 1164 1 0 9359 1 0 1620 1 0 149 1 0 2479 1 1 6659 1 1 1913 1 0 1563 1 0 708 1 0
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1172 1 0 2086 1 0 524 1 0 221 1 0 0 1 0 1000 1 0 0 1 1 273 1 0 153 1 0 146 1 0 732 1 0 2539 1 0 208 1 0 542 1 0 144 1 0 999 1 0 19 1 0 63 0 0 446 1 0 832 1 0 246 1 0 76 1 1 268 0 0 16 1 0 235 1 0 0 1 1 207 1 0 109 1 0 975 1 0 143 1 0 1756 1 0 972 1 1 5 1 0 36 1 0 0 0 0 468 1 0 804 1 0 199 1 0 257 1 0
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secondary ary dary Result
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Question 4 of 6 PINK CELLS FOR USE OF INSTRUCTOR ONLY Instructor mark out of 15: 0 a) Create a cross-tabulation of the "marital status" and "method of payment" and indicate the cell of the b) Determine the sample correlation coefficient for variables "Items" and "Net Sales". It sows the positive relationship between the number of items and charged by credit. It measn people pu According to my point of view, the customer already items end up paying more . They should decrease th f) Is the "Agae" right-skewed or left-skewed? What is the skewness? The data below shows the a sample of 100 in store credit card transactions at Pelican Stores during one d purchased and "Net Sales" shows the total amount charged to credit card. c) What does your answer in part (b) indicate about the relationship between number of items purchased sure to justify and explain your answer. d) Construct a scatter plot of the data showing the relationship between the 2 variables. Title your plot "P of the table. e) The marketing director of the company claims that this data proves that everybody who buys more ite the store must encourage the customers to buy more items. Using your results from above, respond to th
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left - skewed. It is moderate skewness. Customer Type of Customer Items Net Sales 1 Regular 1 39.50 Discover 2 Promotional 1 102.40 Proprietary Card 3 Regular 1 22.50 Proprietary Card 4 Promotional 5 100.40 Proprietary Card 5 Regular 2 54.00 MasterCard 6 Regular 1 44.50 MasterCard 7 Promotional 2 78.00 Proprietary Card 8 Regular 1 22.50 Visa 9 Promotional 2 56.52 Proprietary Card 10 Regular 1 44.50 Proprietary Card 11 Regular 1 29.50 Proprietary Card 12 Promotional 1 31.60 Proprietary Card 13 Promotional 9 160.40 Visa 14 Promotional 2 64.50 Visa 15 Regular 1 49.50 Visa 16 Promotional 2 71.40 Proprietary Card 17 Promotional 3 94.00 Proprietary Card 18 Regular 3 54.50 Discover 19 Promotional 2 38.50 MasterCard 20 Promotional 6 44.80 Proprietary Card 21 Promotional 1 31.60 Proprietary Card 22 Promotional 4 70.82 Proprietary Card 23 Promotional 7 266.00 American Express 24 Regular 2 74.00 Proprietary Card 25 Promotional 2 39.50 Visa 26 Promotional 1 30.02 Proprietary Card 27 Regular 1 44.50 Proprietary Card 28 Promotional 5 192.80 Proprietary Card 29 Promotional 3 71.20 Proprietary Card 30 Promotional 1 18.00 Proprietary Card 31 Promotional 2 63.20 MasterCard 32 Regular 1 75.00 Proprietary Card Method of Payment
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33 Promotional 3 63.20 Proprietary Card 34 Regular 1 40.00 Proprietary Card 35 Promotional 5 105.50 MasterCard 36 Regular 1 29.50 MasterCard 37 Regular 2 102.50 Visa 38 Promotional 6 117.50 Proprietary Card 39 Promotional 5 13.23 Proprietary Card 40 Regular 2 52.50 Proprietary Card 41 Promotional 13 198.80 Proprietary Card 42 Promotional 4 19.50 Visa 43 Regular 2 123.50 Proprietary Card 44 Promotional 1 62.40 Proprietary Card 45 Promotional 2 23.80 Proprietary Card 46 Promotional 2 39.60 Proprietary Card 47 Regular 1 25.00 MasterCard 48 Promotional 3 63.64 Proprietary Card 49 Promotional 1 14.82 Proprietary Card 50 Promotional 9 145.20 MasterCard 51 Promotional 6 176.62 Proprietary Card 52 Promotional 5 118.80 Proprietary Card 53 Regular 1 58.00 Discover 54 Regular 2 74.00 Visa 55 Regular 2 49.50 MasterCard 56 Promotional 3 141.60 Proprietary Card 57 Promotional 6 123.10 Proprietary Card 58 Promotional 2 80.40 Proprietary Card 59 Promotional 4 65.20 MasterCard 60 Promotional 4 113.00 Proprietary Card 61 Promotional 1 108.80 Proprietary Card 62 Promotional 3 59.91 Proprietary Card 63 Promotional 5 53.60 Proprietary Card 64 Promotional 1 31.60 Proprietary Card 65 Promotional 2 49.50 Proprietary Card 66 Promotional 1 39.60 Proprietary Card 67 Promotional 2 59.50 Proprietary Card 68 Promotional 5 146.80 Proprietary Card 69 Promotional 2 47.20 Proprietary Card 70 Promotional 8 95.05 Proprietary Card 71 Promotional 5 155.32 Proprietary Card 72 Promotional 4 58.00 MasterCard 73 Regular 1 69.00 Proprietary Card 74 Promotional 2 46.50 Proprietary Card 75 Promotional 2 45.22 Proprietary Card
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76 Promotional 4 84.74 Proprietary Card 77 Regular 2 39.00 Proprietary Card 78 Promotional 4 111.14 Proprietary Card 79 Promotional 3 86.80 Proprietary Card 80 Regular 2 89.00 Discover 81 Promotional 2 78.00 MasterCard 82 Promotional 6 53.20 Proprietary Card 83 Promotional 4 58.50 Visa 84 Promotional 3 46.00 Proprietary Card 85 Regular 2 37.50 Visa 86 Promotional 1 20.80 Proprietary Card 87 Regular 6 144.00 MasterCard 88 Regular 4 107.00 Proprietary Card 89 Promotional 1 31.60 Proprietary Card 90 Promotional 6 57.60 Proprietary Card 91 Promotional 4 95.20 Proprietary Card 92 Promotional 1 22.42 Proprietary Card 93 Regular 5 159.75 Proprietary Card 94 Promotional 17 229.50 Proprietary Card 95 Regular 3 66.00 American Express 96 Regular 1 39.50 MasterCard 97 Promotional 9 253.00 Proprietary Card 98 Promotional 10 287.59 Proprietary Card 99 Promotional 2 47.60 Proprietary Card 100 Promotional 1 28.44 Proprietary Card
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top left corner of the table. J56 0.7551 (J65) urchase mostly from credit card. I33 he prices so that they can get more. day. "Items" shows the total number of items d and the amount charged to credit card? Be Part e", indicate the cell of the top left corner ems ends up paying more. He suggests that he director's claim.
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Gender Age Male Married 32 Female Married 36 Female Married 32 Method of Payment Female Married 28 American Express Female Married 34 Discover Female Married 44 MasterCard Female Married 30 Proprietary Card Female Married 40 Visa Female Married 46 Total Result Female Married 36 Female Married 48 Female Married 40 correlation of coffic Female Married 40 Female Married 46 Male Single 24 Male Single 36 Female Single 22 Female Married 40 Female Married 32 Female Married 56 Female Single 28 Female Married 38 Female Married 50 Female Married 42 Male Married 48 Female Married 60 Female Married 54 Female Single 42 Female Married 32 Female Married 70 Female Married 28 Female Married 52 Marital Status
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Female Married 44 Female Married 34 Female Married 56 Male Single 36 Female Single 42 Female Married 50 Female Married 44 Female Married 58 Female Married 42 Female Married 46 Female Married 48 Female Married 54 Female Married 38 Female Married 60 Female Married 46 Female Married 30 Female Married 32 Female Married 46 Female Married 38 Male Married 68 Female Single 78 Female Single 20 Female Married 32 Female Married 38 Female Married 54 Female Married 48 Female Married 46 Female Single 50 Female Married 46 Female Single 30 Female Married 54 Female Single 42 Female Married 48 Female Married 62 Female Married 34 Female Married 28 Male Married 46 Female Married 54 Female Married 30 Female Married 32 Female Single 22 Female Married 32 Female Married 74
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Female Married 62 Female Married 42 Female Married 28 Female Married 38 Female Married 54 Female Married 68 Female Single 30 Female Married 36 Female Married 44 Female Married 44 Female Married 62 Female Single 48 Female Married 36 Female Single 20 Female Married 42 Female Married 54 Female Married 54 Female Married 72 Female Married 30 Female Married 46 Female Married 44 Female Married 30 Female Married 52 Female Married 30 Female Married 44 0 2 4 6 0.00 50.00 100.00 150.00 200.00 250.00 300.00 350.00
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3 marks 3 marks 2 marks 2 marks 3 marks
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2 marks Count of Marital Status 2 4 14 70 10 100 cient 0.755059391
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6 8 10 12 14 16 18 Part e
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Question 5 of 6 PINK CELLS FOR USE OF INSTRUCTOR ONLY Instructor mark out of 10: 0 a) What is the probability that it does not rain tomorrow? Probability of rain = probability 1 inch + probability of 2 inches + probability of 3 inches = 0.7 so Pro X 0 1 2 P(X) 0.3 0.4 0.2 c) What is the expected value of rain tomorrow? Expected value of rain tomorrow is 1.1 inches d) What is the probability that it rains more than or equal to 2 inches tomorrow? Probability of rain more than or equal to 2 inches = probability (2inches)+probability (3inches)= 0.3 A tropical island has the same probabilities of rain every day: 40% chance of 1 inch, 20% chance of 2 inch never rains more than 3 inches. b) If random variable X denotes the amount of rain in inches, complete the following table.
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e) What is the standard deviation of the amount of rain on one day? Standard deviation of amount of rain on one day is approximately 0.943 inches.
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obability of no rain = 1- probability o 2 marks 3 4 5 2 marks 0.1 0 0 2 marks 2 marks hes, 10% chance of 3 inches. It
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2 marks
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Question 6 of 6 PINK CELLS FOR USE OF INSTRUCTOR ONLY Instructor mark out of 15: 0 The probability of getting a 6 in first one is 1/6 and not getting a 6 in second one is 5/6 so the pr c) What is the probability of getting at least one odd number from the roll of two dice? Probability of at least one odd number is 1 - probability of not getting any odd number = 1- 1/4 d) If the outcome of rolling one of the dice is an odd number, what is the probability of having th a) What is the probability of getting one odd number and one even number? odd numbers on six sided dice are 1,3,5 and even numbers are 2,4,6 so total number of favour Favourable outcomes/ total number of outcomes = 9/36= 1/4 b) What is the probability of getting a 6 in the first one and not getting a 6 in the second one?
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e) What is the probability of getting a "4" in the second roll, given that the second roll is even? number of favourable outcome is 6 and total number of outcome is 36 so probability is number 6/36= 1/36 Probability of second roll being even is 3/6 = 1/2. therefore the probability of getting 4 in second probability of getting 4 in second roll is 1/3
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3 marks robability of getting a 6 on one dice and not on second d 3 marks =3/4 3 marks he sum of two dice as an odd number? rable outcomes is 9. Probabilty = number
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3 marks 3 marks r of favourable outcomes/ total number of outcomes = d roll, given that second roll is even is 1/3. so
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Q1 0 Q2 0 Q3 0 Q4 0 Q5 0 Q6 0 Total 0
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