Statistical Analysis of Student Survey

Extract

[...] We will create 3 classes: [301;600], [601;900] We start by creating a contingency table of the observed staff numbers : Rent/Judgment [0 ;300] [301 ;600] [601 ;900] Total Unsatisfactory 1 1 2 Acceptable 2 4 2 8 Satisfactory 8 9 2 19 Total 11 14 4 29 We compile the theoretical personnel table : Rent/Judgment [0 ;300] [301 ;600] [601 ;900] Total Unsatisfactory 0.76 0.97 0.28 2 Acceptable 3.03 3.86 1.10 8 Satisfactory 7.21 9.17 2.62 19 Total 11 14 4 29 On calculates the quotient for each cell in the table: Jugement/Loyer [0 ;300] [301 ;600] [601 ;900] Total Insatisfactory 0.077 0.001 0.276 0.354 Acceptable 0.353 0.005 0.728 1.086 Satisfactory 0.087 0.003 0.147 0.238 Total 0.517 0.009 1.151 1.677 One obtains a of 1,677. In this test we have a degree of freedom . For a significance level of the theoretical is . On a so we can accept the hypothesis . We can therefore assert (with a risk of being wrong) that the satisfaction of students with their accommodation decreases with the increase in rent. [...]

[...] We start by creating a contingency table of the observed staff numbers : License / Sport Yes No Total Yes 14 9 23 No 4 2 6 Total 18 11 29 We draw up the theoretical personnel table : License / Sport Yes No Total Yes 14.28 8.72 23 No 3.72 2.28 6 Total 18 11 29 On calculates the quotient for each cell in the table: License / Sport Yes No Total Yes 0.0053 0.0087 0.0141 No 0.0204 0.0334 0.0539 Total 0.0258 0.0422 0.0679 One obtains a of 0.0679. In this test we have a degree of freedom . For a significance level of the theoretical is . On a so we can accept the hypothesis . We can therefore assert (with a risk of being wrong) that students enrolled in Licence practice more sports activity than students enrolled in other diplomas. Question 11: For this question, we also perform a test of with : « student satisfaction with their accommodation decreases with the increase in rent ». [...]

[...] We start by creating a contingency table of the observed numbers. : Library/Number of books read Total Yes 13 10 23 No 2 4 6 Total 15 14 29 We draw up the theoretical personnel table : Library/Number of books read Total Yes 11.90 11.10 23 No 3.10 2.90 6 Total 15 14 29 On calculates the quotient for each cell in the table: Library/Number of books read Total Yes 0.10 0.11 0.21 No 0.39 0.42 0.81 Total 0.49 0.53 1.02 One obtains a of 1.02. [...]

[...] and above 700? represent a small number. Question In terms of the number of books read completely or partially, a histogram representation is also suitable: It can be seen that there is an exponential decrease in the number of books read, with one individual (which can be qualified as an 'outlier') who has read 100 books. Question We have created a dynamic cross-tabulation table highlighting the training satisfaction rate (variable with the current level of diploma (variable 1). The following table is obtained: Row Labels Satisfying Licence Master Doctorate Acceptable Licence Master Unsatisfactory Licence Grand Total One can notably say that the 'unsatisfactory' satisfaction rate is only obtained for the License and the Doctorate is the only one to give a 'satisfactory' satisfaction rate. [...]

[...] See Excel file for values. It is observed that there is a loss of information in the aggregation of the two variables 3 and 4. Furthermore, the two variables do not deal with the same subject (either it is the family that helps, or it is we who help the family). Question The histogram is a good tool for visually representing the distribution of the variable 'monthly resources': It can be seen that the majority of monthly resources are between 400 and 700 The resources below 400? [...]