Question
Analysis Tools and Methods You should use all possible analysis tools you have learned in this course included but not limited to descriptive statistics, bar
Analysis Tools and Methods
You should use all possible analysis tools you have learned in this course included but not limited to descriptive statistics, bar chart, pie chart, histogram, hypothesis testing of differences and hypothesis testing of relations. In all hypotheses testing process, you will decide which factor is considered as IV or DV unless the information was provided. Remember that hypothesis tests you have learned in this course analyze hypothesis with one DV only. Hypothesis testing of differences and Relations are the tests you will use to perform the analysis. The analysis includes but it's not limited to the t-test, ANOVA, ANCOVA, Regression (SRM or MRM) if applicable for hypothesis testing. You can do research and add more tests if you like to and those who research and use a new test for relations or differences will receive extra credit. (MANOVA, and MANCOVA are suggested as new methods you can do research on and use in your analysis but this is completely optional).
For the hypothesis test of relation, regression in general, you can use scatter plot matrix, correlation matrix, correlation analysis, simple and multiple correlation, Chi Square, Cramer's V, simple and multiple regression. maximum number of outliers to delete is 3 cases only.
You need to check the assumptions for all hypothesis tests. For example if you use a categorical variable (factor) in regression analysis, your test is wrong and not acceptable unless it's transformed to a dummy variable. Or if you run ANOVA on a categorical variable as your DV, that would be wrong, and you may lose some credit.
To get the maximum possible grade on your project, you should have all possible tests of differences and relations that you have learned in class once at least and you need to have the following in your report:
1- Graphing and interpreting bar chart, pie chart and histogram for each DV and important IVs (IVs with significant relation or differences) particularly the demographic factors such as age and gender etc.
2- State the alternative and null Hypothesis correctly.
3- Set the Significance level (or confidence level) it's 95% confidence level for this class.
4- What test is the best test to use?
5- Check the assumptions/conditions of the tests
6- Preform the test
7- Analyze the results
8- Note down a conclusion and a recommendation based on the results. 9- Finally, graph overall model diagram, and write a general conclusion for your results.
JMP File Edit Tables Rows Cols DOE Analyze Graph Tools View Window Help $ 7 87% Sun 11:22 AM Esmeralda Herrera QE #10_TOURISM SAT DATA (2).jmp marital transportation traveller's Service Word of 10_TOURI... Income Sex Age Edu Level Loyalty status n cleanliness satisfaction food variety Quality mouth 3.5 48084 MALE 21 MASTER MARRIED 3.5 3.3 2.5 4.6 4.5 72396 FEMALE 18 BACHELOR OTHERS 3.43 3.2 3 2.4 3.5 3.3 3.5 W N - 2.6 4.4 4.3 46373 MALE 28 PHD SINGLE 4.1 3.5 3.3 3.5 4.4 55741 MALE 28 BACHELOR SINGLE 4.1 3.2 4.6 4.8 3.3 4.3 4.4 3.8 36738 FEMALE 18 MASTER OTHERS 3.6 3.1 3.3 1.7 42754 FEMALE 23 PHD MARRIED 1.78 3.1 2.8 3 2 4.8 28 MASTER MARRIED 4.76 4.4 4.5 3.9 4.4 4.4 5 51188 MALE 3.2 4.8 2.5 66668 FEMALE 19 MASTER SINGLE 2.45 2 3.1 3 45775 FEMALE 27 MASTER OTHERS 2.9 3.1 3 3.3 3.1 4.4 63385 FEMALE 21 BACHELOR SINGLE 4.4 4.7 4.7 4.3 3.4 4.3 4.7 10 21 MASTER MARRIED 3.1 3.5 4 3 2.9 3.8 3 11 51005 FEMALE 12 54553 FEMALE 30 BACHELOR SINGLE 3.9 4.3 4.5 3.8 4.1 3.4 4.3 Columns (12/0) 13 74403 FEMALE 23 BACHELOR MARRIED 3.3 3.7 4 3.3 3.3 2.5 4.2 Q 3.4 4 3.2 3.6 4.4 3.5 14 56212 FEMALE 30 MASTER MARRIED Income 15 46195 MALE 24 BACHELOR MARRIED 3.5 2.6 2.8 2 1.5 3.2 Sex 3.21 3.1 3.7 3.2 2.6 4.5 3.3 Age 16 67467 MALE 21 BACHELOR OTHERS ib Edu Level 17 51357 MALE 27 BACHELOR MARRIED 3.24 3.2 3.2 3.4 4.2 4.2 3.3 b marital status 62549 MALE 21 BACHELOR 3.5 3.8 4.2 18 MARRIED 4.12 3.5 3.7 3.8 transportation 71259 FEMALE 26 MASTER MARRIED 3.7 3.8 3.7 4.3 3.2 4.8 3.5 cleanliness 19 3.8 3.4 3.7 travell...action 20 49865 FEMALE 18 PHD OTHERS 4.15 3.9 4.2 3.3 23 BACHELOR SINGLE 3.75 4.6 4.7 3.8 3.3 3.4 3.8 I food variety 21 47152 FEMALE 3.1 3.2 3.3 Servi... Quality 22 56441 MALE 22 MASTER SINGLE 3.25 3.6 3.8 3.3 Word ...outh 23 55505 MALE 24 BACHELOR OTHERS 3.41 3.5 3.3 3.6 3.2 3.4 Loyalty 24 65151 FEMALE 28 BACHELOR MARRIED 2.9 3.8 3.2 2.6 2.9 3.3 3.3 28 HIGH SCH... MARRIED 3.9 3.5 2.8 3.9 4.2 4.2 25 70249 MALE 25 MASTER MARRIED 3.32 3.6 3.8 4.4 3.6 3.3 3.3 26 66842 MALE 3.5 3.3 3.3 27 36678 FEMALE 44 MASTER MARRIED 3.5 3.3 47654 FEMALE 30 BACHELOR MARRIED 3.8 4.4 4.5 3.9 4.4 4.3 4.3 28 45614 MALE 38 SOME CO... MARRIED 2.8 3.8 2.8 2.9 3.8 3.3 3.3 29 4.3 4.4 4.4 4.7 30 57048 FEMALE 37 PHD MARRIED 4.3 4.4 4.7 Rows 62936 MALE 36 MASTER MARRIED 3.8 4.3 4.7 3.8 4.3 4.4 4.7 All rows 166 31 3.8 4.9 4.8 3.8 4.9 5 5 Selected 32 64039 FEMALE 33 BACHELOR MARRIED 4.8 Excluded 33 53605 FEMALE 31 BACHELOR MARRIED 4.3 4.8 4.8 4.3 oooo Hidden 41 BACHELOR SINGLE 3.7 2.9 3 34 69418 MALE 2.9 Labeled 3 2.8 3.3 2.8 2.8 35 50881 FEMALE 35 PHD MARRIED 2.8 3.3 27 city A INJMP File Edit Tables Rows Cols DOE Analyze Graph Tools View Window Help $ 87% . Sun 11:23 AM Esmeralda Herrera Q #10_TOURISM SAT DATA (2).jmp marital transportation traveller's Service Word of 10_TOURI... TO Income Sex Age Edu Level status n cleanliness satisfaction food variety Quality mouth Loyalty 35 50881 FEMALE 35 PHD MARRIED 2.8 3.3 3 2.8 3.3 2.8 2.8 3.5 3.5 36 56012 MALE 49 BACHELOR MARRIED 3.3 3.4 3.2 3.6 3.4 42 BACHELOR SINGLE 3.3 3.6 3.7 3.4 3.6 3.3 3.3 37 54846 FEMALE 65300 FEMALE 33 MASTER MARRIED 3.5 3.3 3 3.5 3.3 38 39 67763 MALE 32 BACHELOR MARRIED 2.9 3.4 3.2 2.9 3.4 3.4 3.7 40 40228 MALE 40 PHD SINGLE 2.4 1.6 2 2.5 1.6 1.3 1.3 41 36736 FEMALE 49 BACHELOR MARRIED 2.4 3.3 3 2.4 3.3 3.5 3.5 68406 FEMALE 34 PHD 4.4 3.9 4 4 42 OTHERS 4.4 3.9 43 46526 MALE 48 BACHELOR OTHERS 3.8 4.7 4.5 3.9 4.4 5 44 57144 MALE 36 BACHELOR OTHERS 3.3 3.1 3 3.3 3.1 3 45 38587 FEMALE 40 BACHELOR MARRIED 4.3 4.7 4.7 4.3 4.4 4.4 4.7 46 49563 FEMALE 30 BACHELOR SINGLE 2.9 3.6 2.8 3 3.6 3 3 Columns (12/0) 47 48560 MALE 18 BACHELOR SINGLE 3 3.5 2.8 3 3.5 3 3 Q 22 MASTER OTHERS 3.8 3.8 3.2 3.8 3.8 3 3 Income 48 46675 MALE 41610 MALE 24 BACHELOR MARRIED 3.8 3.7 4.5 3.8 3.4 4.3 4.3 Sex 49 Age 50 55299 FEMALE 24 BACHELOR SINGLE 3.3 3.9 4 3.3 3.9 4.2 4.2 ib Edu Level 57481 FEMALE 29 BACHELOR SINGLE 3.2 3.8 4 3.2 3.8 3.5 3.5 51 b marital status 3.4 3.7 52 72907 FEMALE 23 PHD MARRIED 3.2 4 3.2 transportation 53 35879 MALE 27 MASTER OTHERS 3.4 3.6 2.7 3.5 3.6 2.5 2.5 cleanliness 3.2 3.7 3.7 3.2 3.4 3.3 3.3 travell...action 54 74165 FEMALE 25 MASTER OTHERS I food variety 55 53556 MALE 29 BACHELOR MARRIED 3.4 3.8 3.2 3.4 3.8 3.3 3.3 Servi... Quality 56 35923 FEMALE 25 MASTER OTHERS 3.4 3.9 3.5 3.7 3.9 4.2 4.2 Word ...outh 73343 MALE 21 MASTER MARRIED 4.3 3.8 3.7 4.3 3.8 3.5 3.5 57 Loyalty 3.7 58 64442 MALE 30 BACHELOR SINGLE 3.3 3.9 4.2 3.3 3.9 3.4 59 36678 MALE 25 BACHELOR OTHERS 3.8 4.5 4.7 3.8 4.5 3.5 3.5 60 63863 MALE 23 BACHELOR OTHERS 3.8 4.6 4.7 3.8 4.6 3.8 3.8 3.3 61 45495 FEMALE 27 BACHELOR SINGLE 2.9 3.6 3.8 3.6 3.3 36753 FEMALE 45 MASTER MARRIED 3.3 3.8 3.8 3.3 3.8 4.3 4.3 62 63 152534 FEMALE 47 BACHELOR MARRIED 4.3 4.6 5 4.4 4.6 4.5 4.5 64 103502 FEMALE 60 PHD SINGLE 3.3 3.2 2.7 3.3 3.2 2.8 2.8 Rows 51 MASTER MARRIED 3.8 3.3 3.2 3.8 3.3 3.2 3.2 All rows 166 65 94851 FEMALE 66 154965 MALE 43 PHD MARRIED 3.9 4 3.9 4 Selected 3.5 Excluded 60 BACHELOR SINGLE 3.8 3.3 3.5 3.8 3.3 3.5 37 112935 FEMALE oooo Hidden 5 5 58 81264 MALE 42 PHD OTHERS 3.9 Co Labeled 63 MASTER MARRIED 3.5 4.4 3.5 3.5 4.4 69 1 10376 FEMALE O 27 city A IN ofJMP File Edit Tables Rows Cols DOE Analyze Graph Tools View Window Help $ 7 87% Sun 11:23 AM Esmeralda Herrera QE #10_TOURISM SAT DATA (2).jmp marital Service Word of 10_TOURI... transportation traveller's Quality mouth Loyalty Income Sex Age Edu Level status n cleanliness satisfaction food variety 69 1 10376 FEMALE 63 MASTER MARRIED 3.5 4.4 3.5 3.5 4.4 3.8 3.3 3 70 105636 FEMALE 52 BACHELOR OTHERS 3.8 3.3 3 71 156918 MALE 62 MASTER SINGLE 3.9 4.1 4.7 4.1 4 72 105761 FEMALE 41 MASTER MARRIED 3.5 3.7 2.5 3.5 3.4 3 3 137112 FEMALE 48 BACHELOR SINGLE 3.8 3.7 3.8 3.4 3.5 3.5 73 3.3 74 102204 MALE 79 BACHELOR OTHERS 4.3 4.4 4.2 4.4 4.4 4 3.5 3.3 3.3 75 47150 FEMALE 54 BACHELOR MARRIED 3.3 3.5 3.3 3.6 4.4 4.7 76 64882 FEMALE 59 PHD SINGLE 1.33 4.5 3.7 4 3.8 3.8 77 54726 FEMALE 67 MASTER OTHERS 4.23 4.3 4.5 3.3 4.3 78 52895 FEMALE 76 MASTER OTHERS 3.8 4.5 4 3.8 4.5 4.3 4.3 53 PHD OTHERS 3.6 4.2 4 3.6 4.2 4.2 4.2 79 47995 FEMALE 5 Columns (12/0) 80 46947 FEMALE 76 BACHELOR OTHERS 3.5 4.4 4 3.5 4.4 5 3.3 3.3 Q 81 61386 FEMALE 40 BACHELOR MARRIED 3.5 3.8 3.3 3.5 3.8 2.8 4.3 4.3 82 66445 MALE 21 BACHELOR MARRIED 3.6 2.8 3 3.6 Income 26 BACHELOR SINGLE 2.3 3 2.3 4 3 3 Sex 83 52477 FEMALE 84 27 PHD 3.7 5 Age 56848 FEMALE SINGLE 3.7 3.7 5 4.4 4.7 ib Edu Level 35276 MALE 25 MASTER MARRIED 3.8 3.6 3.7 3.8 3.6 3 3 85 b marital status 67269 FEMALE 20 PHD SINGLE 2.9 3.8 4 86 2.9 3.8 3.4 3.7 transportation 47561 MALE 28 BACHELOR SINGLE 2.9 4.3 4.3 2.9 4.3 4 cleanliness 87 4 travell...action 88 63426 FEMALE 26 BACHELOR OTHERS 3.5 4 3.5 I food variety 89 40779 FEMALE 18 MASTER OTHERS 3.3 3.1 4 3.3 3.1 4.8 4.8 3.8 4.7 Servi... Quality 3.1 4.4 90 50891 MALE 27 PHD MARRIED 3.1 3.8 4.2 Word ...outh 29 PHD MARRIED 3.3 4.3 4.2 3.3 4.3 4.2 4.2 91 64134 MALE Loyalty 2.5 2.9 2.8 2.4 2.7 92 61231 FEMALE 25 PHD OTHERS 2.8 2.8 93 48487 FEMALE 25 MASTER SINGLE 3.4 2.1 2.7 3.5 2.1 2 2 28 BACHELOR MARRIED 2.4 3.3 2.7 2.4 3.3 2.4 2.7 94 62871 MALE 64851 FEMALE 23 BACHELOR OTHERS 3.8 3.4 2.7 3.8 3.4 1.3 1.3 95 2.3 96 57676 FEMALE 26 PHD MARRIED 3.8 2.5 3.2 3.8 2.5 2.3 3.8 3.8 97 65919 MALE 19 PHD SINGLE 2.9 3.3 2 2.9 3.3 27 BACHELOR OTHERS 2.8 2.3 2.7 2.8 2.3 3.5 3.5 98 46389 FEMALE Rows 39 36251 FEMALE 30 PHD MARRIED 2.9 3.7 2.9 4 All rows 166 2.4 Selected 100 59804 FEMALE 30 BACHELOR MARRIED 2.2 2.7 1.3 2.2 39942 FEMALE 18 MASTER OTHERS 4.4 4.5 4.3 4.4 4.5 4.2 4.2 Excluded 101 oooo Hidden 57707 FEMALE 50 BACHELOR SINGLE 3.1 3.5 3.3 3.1 3.5 4.3 43 102 Labeled 68769 MALE 53 PHD SINGLE 3.3 4.2 4.2 3.3 4.2 4 4 103 O 27 City A W IN$ 7 87% . Sun 11:24 AM Esmeralda Herrera QE JMP File Edit Tables Rows Cols DOE Analyze Graph Tools View Window Help #10_TOURISM SAT DATA (2).jmp Word of marital transportation traveller's Service 10_TOURI... Age Edu Level status n cleanliness satisfaction food variety Quality mouth Loyalty Income Sex 3.7 3.7 3.9 3 3.7 3.7 133 53928 FEMALE 58 BACHELOR MARRIED 3.9 32 BACHELOR MARRIED 4.5 3.5 3.5 4.5 3.8 3.5 2.6 134 85000 MALE 4.6 3.4 135 57 PHD 3.1 47242 MALE MARRIED 4.6 3.8 3.8 3.8 25 MASTER OTHERS 3.6 3.3 3.3 3.6 3.3 3.3 3.8 136 35080 MALE 36 BACHELOR SINGLE 4.4 4.7 4.7 4.4 2.3 4.7 137 60637 FEMALE 138 53628 FEMALE 55 MASTER SINGLE 3.5 3.3 3.3 3.5 2.8 3.3 2.5 4.1 139 52541 MALE 50 MASTER SINGLE 4.4 4.3 4.3 4.4 2.3 4.3 4.6 2.9 4.8 4.1 140 46189 MALE 42 BACHELOR MARRIED 4.6 4.8 4.8 89000 MALE 55 MASTER OTHERS 4.3 4.7 4.7 4.3 2.8 4.7 141 OTHERS 4.3 4.8 4.8 4.3 4.3 4.8 2.4 142 50961 FEMALE 31 BACHELOR 4.7 3.8 143 64071 FEMALE 33 MASTER OTHERS 4.4 4.7 4.7 4.4 3.3 4.3 4.8 4.8 4.3 2.9 4.8 4.8 Columns (12/0) 144 44084 FEMALE 35 MASTER MARRIED MARRIED 4.7 4.7 4.7 4.7 3.8 4.7 4.1 Q 145 80OOO MALE 36 PHD 146 52447 FEMALE 55 MASTER MARRIED 4.7 4.7 4.7 4.7 3.8 4.7 3.2 Income 37 PHD SINGLE 3.6 3 3 3.6 3.3 3 1.9 Sex 147 53709 FEMALE 3 3 3.5 3.2 3 5 148 3.5 Age 73539 FEMALE 59 PHD SINGLE 34 PHD OTHERS 3.8 3 3 3.8 2.9 3 3.1 ib Edu Level 149 50543 MALE 4.1 b marital status 150 56933 FEMALE 33 PHD OTHERS 4.3 3.8 3.8 4.3 3.4 3.8 transportation OTHERS 3.21 3.8 3.8 4.2 3.2 3.8 3 151 46601 FEMALE 38 PHD cleanliness 1.2 travell...action 152 43733 FEMALE 33 BACHELOR OTHERS 1.3 3.7 3.7 3.4 3.4 3.7 OTHERS 2.95 2.5 2.5 3.3 3.4 2.5 2.8 I food variety 153 1 10000 FEMALE 41 PHD 2.98 3 3.3 3.1 Servi... Quality 154 42 MASTER SINGLE 3.3 3.9 40174 FEMALE 3.3 4 3.5 Word ...outh 155 45 MASTER OTHERS 3.76 3.3 3.3 3.9 3.3 55291 FEMALE Loyalty 156 53361 FEMALE 31 PHD MARRIED 3.56 4.8 4.8 4.1 3.8 4.8 3.4 49622 FEMALE 60 PHD SINGLE 3.11 4.2 4.2 4.2 4 4.2 3 157 40 MASTER OTHERS 2.98 3.8 3.8 3.8 4.2 3.8 2.8 158 35476 FEMALE 3.6 159 140000 FEMALE 50 PHD OTHERS 3.8 3.7 3.7 3.8 2 3.7 63093 MALE 48 MASTER OTHERS 3.54 3.3 3.3 3.8 4.2 3.3 3.4 160 3.7 3.5 161 42261 FEMALE 39 PHD MARRIED 3.76 3.7 3.7 3.3 2.7 61778 FEMALE 50 BACHELOR OTHERS 2.58 3.2 3.2 2.6 3.2 2.5 162 Rows 40 MASTER SINGLE 2.73 3 3 2.9 2.7 3 2.7 163 46845 FEMALE All rows 166 1.3 3.7 2.9 Selected 0 164 50993 MALE 44 BACHELOR OTHERS 3.12 3.7 3.7 3.2 2.3 2.7 2.3 2.3 2.3 Excluded 165 47660 MALE 56 BACHELOR MARRIED 2.47 2.3 Hidden 35465 FEMALE 37 MASTER OTHERS 2.15 2.5 2.5 3.6 2 2.5 2.2 oo 166 Labeled 27 A WV IN$ 7 87% [ ]. Sun 11:23 AM Esmeralda Herrera QE JMP File Edit Tables Rows Cols DOE Analyze Graph Tools View Window Help #10_TOURISM SAT DATA (2).jmp traveller's Service Word of 10_TOURI... marital transportation Income Sex Age Edu Level status n cleanliness satisfaction food variety Quality mouth Loyalty 103 68769 MALE 53 PHD SINGLE 3.3 4.2 4.2 3.3 4.2 4 3.3 104 44094 MALE 48 PHD MARRIED 2.3 3.1 2.8 2.6 3.1 3.3 44322 FEMALE 48 MASTER SINGLE 4.3 3.8 3.2 4.3 3.8 4 4 105 4.5 106 59611 FEMALE 31 BACHELOR OTHERS 3.3 2.8 3.3 3.3 2.8 4.5 52 PHD 2.5 2.5 2.5 2.5 2.5 107 58247 FEMALE OTHERS 3.3 3.3 3.8 3.3 3.5 3.5 108 36244 FEMALE 43 BACHELOR OTHERS 3.8 4.3 3.4 3.7 109 72144 MALE 50 PHD OTHERS 3.8 4.3 3.8 42044 FEMALE 33 BACHELOR MARRIED 3.2 2.5 3.3 3.2 2.5 2.2 2.2 110 3.8 3.1 3.4 5 5 111 49818 MALE 47 MASTER OTHERS 3.1 3.7 37507 FEMALE 41 MASTER OTHERS 2.9 2.8 2.9 4 4 112 34 PHD OTHERS 3.4 3 3.4 3 3 3 113 66462 FEMALE Columns (12/0) 114 56608 MALE 52 PHD OTHERS 3.2 3.7 3.8 3.2 3.4 3.5 3.5 115 50975 FEMALE 37 MASTER OTHERS 3.4 3.8 3.5 3.4 3.8 Q 116 49195 FEMALE 58 PHD OTHERS 4.3 3.3 4.3 3 3.5 3.5 Income 3.3 3.3 3.2 4 Sex 117 65670 MALE 33 MASTER OTHERS 3.3 3.2 4 3.3 3.5 3.8 4.3 4 Age 118 46657 FEMALE 37 PHD OTHERS 3 ib Edu Level 119 55893 FEMALE 52 BACHELOR MARRIED 3 3.6 3 3.8 2.9 b marital status 41 MASTER SINGLE 4 4.6 4 3.2 4 120 47459 FEMALE transportation 121 44183 FEMALE 32 BACHELOR MARRIED 3.8 4 3.4 2.8 3.8 3.8 cleanliness 3.2 travell...action 122 43557 FEMALE 3.3 3.6 3.3 4 28 BACHELOR MARRIED 3.4 2.5 4.7 4.7 I food variety 123 39060 MALE 57 PHD SINGLE 4.7 3.8 4.2 Servi... Quality 124 59859 MALE 50 BACHELOR OTHERS 2 1.6 2 3.2 2.7 2 2 Word ...outh 53786 MALE 45 MASTER OTHERS 4.2 4.3 4.2 3.8 2.9 4.2 4.2 125 Loyalty 57473 MALE 36 MASTER OTHERS 2.7 2.8 2.5 3.7 2.3 2.7 2.7 126 127 44668 FEMALE 39 PHD SINGLE 2 2.1 2.7 3.9 2.2 2 2 46 BACHELOR OTHERS 2.7 3.3 2.7 3.9 2.4 2.7 2.7 128 60604 FEMALE 129 38903 MALE 50 MASTER MARRIED 1.3 3.4 2.7 3.3 2.4 1.3 1.3 2.3 2.3 130 58215 MALE 39 SOME CO... SINGLE 2.3 2.5 3.2 4.1 2.3 59 HIGH SCH... MARRIED 2 1.9 1.7 3.4 4.4 2 2 131 66572 FEMALE 132 43365 MALE 54 MASTER SINGLE 4.6 4.5 4.5 4.6 3.3 4.5 3.9 Rows 133 53928 FEMALE 58 BACHELOR MARRIED 3.9 3.7 3.7 3.9 3 3.7 3.7 All rows 166 3.5 4.5 3.8 3.5 2.6 Selected 0 134 85000 MALE 32 BACHELOR MARRIED 4.5 3.5 Excluded 135 47242 MALE 57 PHD MARRIED 4.6 3.8 3.8 4.6 3.1 3.8 3.4 Hidden 25 MASTER OTHERS 3.6 3.3 3.3 3.6 3.3 3.3 3.8 oo 136 35080 MALE Labeled 4.4 4.7 4.7 4.4 2.3 4.7 4 137 60637 FEMALE 36 BACHELOR SINGLE 27 city A WStep by Step Solution
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