# Cross-Sectional Studies on Mathematical Aptitude and Intelligent Quotient in North Eastern Tribes

## Abstract

Cross-sectional studies are conducted on mathematical aptitude on a sample of 590 individuals from North Eastern tribes in Tripura over a time span of more than 5 years, viz., September 20, 2011–January 30, 2017. Scores on Intelligent Quotient (IQ) are obtained from interviews on 383 individuals over the years 2011–2014. The study is supplementary to the longitudinal study of Dasgupta (Longitudinal studies on mathematical aptitude and intelligence quotient in North Eastern Tribes, 2018). Total score, i.e., mathematical aptitude score plus IQ scores are also obtained on 383 individuals over the same time period of years 2011–2014, when traits mathematical aptitude score and IQ were assessed simultaneously. Scores are expressed in percentage when analyzed. Analyzed data indicate that mathematical aptitude score, intelligent quotient score, and sum-total of these two fluctuate over time, starting from high values after interaction with interviewer, when individuals are benefited from discussions in such assessment. The scores subsequently stabilize over time at a level slightly below the peak scores when the effect of interaction fades up. The average level of mathematical aptitude is low; although level of intelligence quotient score is comparatively high. Cross-sectional studies based on average scores at different time points with nonparametric regression indicate an upward trend of growth curve for all the traits, viz., IQ score, mathematical aptitude score, and total score, implying overall improvement of status over time. Income have a positive effect on education status. Individuals belonging to very-high-income group show high score in mathematical aptitude. Low mathematical aptitude score in early days of interview for individuals having good income is a possible indication of inherited or joint source of income, as observed in the study.

## Keywords

Mathematical aptitude IQ Proliferation rate Cross-sectional study## MS Subject Classification:

62P15 62P25 62-07## References

- Dasgupta, R. (2015). Rates of convergence in CLT for two sample U-statistics in non iid case and multiphasic growth curve. In R. Dasgupta (Ed.),
*Growth curve and structural equation modeling, Springer Proceedings in Mathematics*&*Statistics*(Vol. 132, pp. 35–58).CrossRefGoogle Scholar - Dasgupta R. (2018).
*Longitudinal studies on mathematical aptitude and intelligence quotient in North Eastern Tribes*. Appearing in this volume as chapter 1.Google Scholar - Pavel, M. D., & Inglebret, E. (2007).
*The American Indian and Alaska Native Student’s Guide to College Success*. London: Greenwood Publishing Group.Google Scholar