PORTRAIT OF THE RELATIONSHIP BETWEEN THE WEEKLY ROUTINE AND THE CAREER CONSTRUCTION OF STUDENTS IN THE 2016/1 SAMPLING CLASS OF THE BACHELOR'S DEGREE IN STATISTICS FEDERAL UNIVERSITY OF SÃO CARLOS: A STRATIFIED SAMPLE SURVEY

PORTRAIT OF THE RELATIONSHIP BETWEEN THE WEEKLY ROUTINE AND THE CAREER CONSTRUCTION OF STUDENTS IN THE 2016/1 SAMPLING CLASS OF THE BACHELOR'S DEGREE IN STATISTICS FEDERAL UNIVERSITY OF SÃO CARLOS: A STRATIFIED SAMPLE SURVEY

This work seeks to portray the relationship between the weekly routine and the construction of the career of students in the 2016/1 Sampling class of the Statistics bachelor’s degree at the Federal University of São Carlos, São Carlos campus . To this end, the following methodologies are used: the phenomenological-hermeneutic method, as the epistemological axis of investigation, and the hypothetical-deductive axis, as its logical axis of investigation. As a technical axis, Stratified Random Sampling without replacement, with proportional allocation, was adopted in this work. Firstly, I stipulated B = 2 and confidence level equal to 95% – 1 – α = 0.95, α = 0.05, α/2 = 0.025, Z α = 1.96. But as the sampling variance (s2) is unknown, I decided to estimate it through a pilot sample. Using common sense, I chose an initial sample size (n 0 ) for each stratum, n 0(1) = 5 for the male stratum and 0(2) = 3 for the female stratum. Then, I accessed the VLE Moodle platform , numbered the male participants from 1 to 27, and the female participants from 1 to 15, drew in R, 5 elementary units from the first stratum and 3 from the second, through the sample (1:27.5) and sample (1:15.3) command. Then, I selected their respective emails and sent them the online questionnaire for data collection, prepared on the Survio virtual platform. With the data collected, I calculated: the total and sample proportion of qualitative variables of interest; the mean, variance, standard
deviation, coefficient of variation and confidence interval for the population mean of each stratum with a confidence index of 95%, of the quantitative variables of interest. The variance of each variable of interest was then estimated and the effective sample size (n) for each of
them was calculated. As all n were different, I chose the largest n among the variables of interest for which I attempted to obtain the confidence interval for the population mean, thus guaranteeing the reliability of the information resulting from this research. Then, I proceeded
with collecting and processing the data following the technical procedures already mentioned, and calculating all the desired point and interval estimators. Furthermore, this work discusses: a) the technical procedures necessary for the adequate operationalization of Stratified Random
Sampling without replacement, with proportional allocation; b) the reliability of the results obtained through the probabilistic sample survey; and c) the increase and expansion of awareness that career building is the responsibility of the individual, even though the organization of work can and should provide the means for it to be achieved concrete.

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