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An Analysis of Some Physical Features of Babies at Birth (A Case Study of Federal Medical Centre, Umuahia)

Received: 1 July 2019     Accepted: 16 August 2019     Published: 6 July 2020
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Abstract

New born baby is a gift from God and what a newborn baby looks like is not a baby model, rather a newborn baby looks varies from baby to baby in terms of weight, height and head circumferences. In this research, a sample of 200 male and female babies was used for the analysis. The aim is to identify if there is a significant difference between the means of the variables considered. In this research, three variables were considered for both male and female babies at birth. The result showed that the mean birth weight is 3.55kg and 3.39kg for male and female babies respectively. The mean height and head circumference of female babies recorded higher than their male counterpart. The Hoteling’s T2-test showed that there is a significant difference between the mean vectors of the variables considered; hence a discriminant analysis was conducted. The discriminant function obtained fairly classifies the group at 42% error rate. From the results gotten, there is significant difference between the height, weight and head circumference of male and female babies and conclude that male babies are heavier in terms of weight while female babies have bigger head circumference than the male babies.

Published in American Journal of Theoretical and Applied Statistics (Volume 9, Issue 4)
DOI 10.11648/j.ajtas.20200904.17
Page(s) 136-142
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Babies Height, Babies Weight, Babies Head Circumference, Discriminant Function, Hoteling’s T2-test

References
[1] Discriminant Analysis Stata Annotated Output. UCLA Institute for Digital Research & Education. Link: https://stats.idre.ucla.edu/stata/output/discriminant-analysis/.
[2] Mohamed B. S. and Rihab A. S. (2014) “Prevalence of gender difference in body mass index”. Procedia-social and behavioral sciences. 159 pp 184-191.
[3] Rencher, A. C (2002) “methods of Multivariate Analysis, 2nd edition”. John Wiley and sons, Inc. New York.
[4] Salo J, Mäki P and Dunkel L. (2011). In Health inspections in child health clinics and school health care, method hand book Finnish National Institute for Health and Welfare, Tampere.
[5] Saowapha C. and Samruam C. (2013): A Test for Testing the Equality of Two Covariance Matrices for High-dimensional Data. Journal of Applied Sciences Volume 13 (2): 270-277, 2013.
[6] Sushama K K, Samta G (2014): An Anthropometric Study of Normal Full Term Newborns at Birth in Western Rajasthan International Journal of Advanced Research (2014), Volume 2, Issue 10, 671-675, ISSN 2320-5407.
[7] Jenni Vaarno (2014), Length and head circumference at birth: associations with birth outcome and morbidity in macrosomic Finnish infants. Master's thesis. UNIVERSITY OF EASTERN FINLAND, Faculty of Health Sciences. Public Health Nutrition.
[8] Rosnah S., May L. Y., Zaleha A. M., Ahmad S., Jaafar R., Shareena I., Khadijah S., Aniza I., Idayu B. I., Saperi S. (2018): Trend of head circumference as a predictor of microcephaly among term infants born at a regional center in Malaysia between 2011 - 2015. Research and Reports in Neonatology 2018: 8 9–17. https://www.dovepress.com/by197.210.52.36.
[9] Williams Chibuzo, (2012): A multivariate analysis of climatic measurements in two cities: a case study of Enugu and Onitsha (2006-2010).
Cite This Article
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    Henrietta Ebele Oranye, Kingsley Chinedu Arum, Agnes Nneoma Kalu. (2020). An Analysis of Some Physical Features of Babies at Birth (A Case Study of Federal Medical Centre, Umuahia). American Journal of Theoretical and Applied Statistics, 9(4), 136-142. https://doi.org/10.11648/j.ajtas.20200904.17

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    ACS Style

    Henrietta Ebele Oranye; Kingsley Chinedu Arum; Agnes Nneoma Kalu. An Analysis of Some Physical Features of Babies at Birth (A Case Study of Federal Medical Centre, Umuahia). Am. J. Theor. Appl. Stat. 2020, 9(4), 136-142. doi: 10.11648/j.ajtas.20200904.17

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    AMA Style

    Henrietta Ebele Oranye, Kingsley Chinedu Arum, Agnes Nneoma Kalu. An Analysis of Some Physical Features of Babies at Birth (A Case Study of Federal Medical Centre, Umuahia). Am J Theor Appl Stat. 2020;9(4):136-142. doi: 10.11648/j.ajtas.20200904.17

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  • @article{10.11648/j.ajtas.20200904.17,
      author = {Henrietta Ebele Oranye and Kingsley Chinedu Arum and Agnes Nneoma Kalu},
      title = {An Analysis of Some Physical Features of Babies at Birth (A Case Study of Federal Medical Centre, Umuahia)},
      journal = {American Journal of Theoretical and Applied Statistics},
      volume = {9},
      number = {4},
      pages = {136-142},
      doi = {10.11648/j.ajtas.20200904.17},
      url = {https://doi.org/10.11648/j.ajtas.20200904.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20200904.17},
      abstract = {New born baby is a gift from God and what a newborn baby looks like is not a baby model, rather a newborn baby looks varies from baby to baby in terms of weight, height and head circumferences. In this research, a sample of 200 male and female babies was used for the analysis. The aim is to identify if there is a significant difference between the means of the variables considered. In this research, three variables were considered for both male and female babies at birth. The result showed that the mean birth weight is 3.55kg and 3.39kg for male and female babies respectively. The mean height and head circumference of female babies recorded higher than their male counterpart. The Hoteling’s T2-test showed that there is a significant difference between the mean vectors of the variables considered; hence a discriminant analysis was conducted. The discriminant function obtained fairly classifies the group at 42% error rate. From the results gotten, there is significant difference between the height, weight and head circumference of male and female babies and conclude that male babies are heavier in terms of weight while female babies have bigger head circumference than the male babies.},
     year = {2020}
    }
    

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    AU  - Kingsley Chinedu Arum
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    AB  - New born baby is a gift from God and what a newborn baby looks like is not a baby model, rather a newborn baby looks varies from baby to baby in terms of weight, height and head circumferences. In this research, a sample of 200 male and female babies was used for the analysis. The aim is to identify if there is a significant difference between the means of the variables considered. In this research, three variables were considered for both male and female babies at birth. The result showed that the mean birth weight is 3.55kg and 3.39kg for male and female babies respectively. The mean height and head circumference of female babies recorded higher than their male counterpart. The Hoteling’s T2-test showed that there is a significant difference between the mean vectors of the variables considered; hence a discriminant analysis was conducted. The discriminant function obtained fairly classifies the group at 42% error rate. From the results gotten, there is significant difference between the height, weight and head circumference of male and female babies and conclude that male babies are heavier in terms of weight while female babies have bigger head circumference than the male babies.
    VL  - 9
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Author Information
  • Department of Statistics, Faculty of Physical Sciences, University of Nigeria, Nsukka, Nigeria

  • Department of Statistics, Faculty of Physical Sciences, University of Nigeria, Nsukka, Nigeria

  • Department of Statistics, Faculty of Physical Sciences, University of Nigeria, Nsukka, Nigeria

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