TITLE: Comparison of four subjects
-By Ekta Buchala
Introduction:
Subjects is the one that we study for purpose without getting bored. There are different Subjects like English, Maths, science etc. The subject that I look forward to studying in my class as well as at home. It has not been the same all through the years I have been studying. It has changed from time to time. Everyone has different interest and their favourite subject varies based on the same.
Objective: To compare the factors
Literature Review:
1.Major Choice
Using unique data on preference rankings for all high school students who apply for college in Ireland, we investigate whether, conditional on absolute achievement, within school-cohort rank in English and math affects choice of college major. We find that higher rank in math increases the likelihood of choosing STEM and decreases the likelihood of choosing Arts and Social Sciences. Similarly, a higher rank in English leads to an increase in the probability of choosing Arts and Social Sciences and decreases the probability of choosing STEM. The rank effects are substantial, being about one third as large as the effects of absolute performance in math and English. We identify subject choice in school as an important mediator – students who rank high in math are more likely to choose STEM subjects in school and this can partly explain their subsequent higher likelihood of choosing STEM for college. We also find that English and math rank have significant explanatory power for the gender gap in the choice of STEM as a college major–they can explain about 36% as much as absolute performance in English and math. Overall, the tendency for girls to be higher ranked in English and lower ranked in math within school-cohorts can explain about 6% of the STEM gender gap in mixed-sex schools and about 16% of the difference in the STEM gender gap between mixed-sex schools and same-sex schools. Notably, these effects occur even though within-school rank plays no role whatsoever in college admissions decisions. (Judith M and Paul J,2019)
2. Domiciled graduate
This paper uses tax and student loan administrative data to measure how the earnings of English graduates around 10 years into the labour market vary with gender, institution attended subject and socioeconomic background. The English system is competitive to enter, with some universities demanding very high entrance grades. Students specialise early, nominating their subject before they enter higher education (HE). We find subjects like Medicine, Economics, Law, Maths and Business deliver substantial premiums over typical graduates, while disappointingly, Creative Arts delivers earnings which are roughly typical of non-graduates. Considerable variation in earnings is observed across different institutions. Much of this is explained by student background and subject mix. Based on a simple measure of parental income, we see that students from higher income families have median earnings which are around 25% more than those from lower income families. Once we control for institution attended and subject chosen this premium fall to around 10%. (Deardon, Shephard and etal,2016)
Data collection: Data was collected with the help of online survey by creating google form, Data had been collected from 40 members.
Data analysis:
Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
Column 1 40 229 5.725 10.66602564
Column 2 40 258 6.45 8.869230769
Column 3 40 226 5.65 7.515384615
Column 4 40 271 6.775 5.358333333
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 36.45 3 12.15 1.499584635 0.216862 2.662568549
Within Groups 1263.95 156 8.10224359
Total 1300.4 159
Conclusion:
From the above Anova Table, as calculated F=1.49 is more than table F. Therefore, reject HO and accept H1 which means any one of them indifferent.
Reference:
Judith M. Delaney & Paul J. Devereux, 2019. “The Effect of High School Rank in English and Math on College Major Choice,” Working Papers 201931, School of Economics, University College Dublin.
Lorraine Deardon & Neil Shephard & Jack Britton & Anna Vignoles, 2016. “How English domiciled graduate earnings vary with gender, institution attended, subject and socio-economic background,” Working Paper 397281, Harvard University OpenScholar.