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Non-Parametric Study of the Attitude of Civil Servants towards Made-in-Nigeria Goods (A Case Study of Owerri Urban, Imo State, Nigeria)

Received: 10 December 2013    Accepted:     Published: 10 January 2014
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Abstract

This study tends to analyze the attitude of civil servants towards made-in-Nigeria goods in Owerri Urban, Imo State. It is an attempt to provide a general picture of the level of acceptability of these goods and ways of raising their quality standards so as to increase demand. The analysis using the Chi-square test showed that the opinion of civil servants on the prices of made in Nigeria goods are independent of sex, educational attainment, level of income and various ages of the civil servants. The analysis using the non-parametric Friedman test revealed that that there is at least a factor that is responsible for the low quality and less durability of made in Nigeria goods. The analysis using the non-parametric Kruskal Wallis test concluded that the suggested opinions are the ways of raising the quality standards of made in Nigeria goods so as to increase demand.

Published in Science Journal of Applied Mathematics and Statistics (Volume 1, Issue 5)
DOI 10.11648/j.sjams.20130105.16
Page(s) 70-81
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), 2024. Published by Science Publishing Group

Keywords

Chi-Square Test, Friedman Test, Made in Nigeria Goods, Kruskal Wallis H-Test

References
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Cite This Article
  • APA Style

    Iheagwara Andrew Ihuoma. (2014). Non-Parametric Study of the Attitude of Civil Servants towards Made-in-Nigeria Goods (A Case Study of Owerri Urban, Imo State, Nigeria). Science Journal of Applied Mathematics and Statistics, 1(5), 70-81. https://doi.org/10.11648/j.sjams.20130105.16

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    ACS Style

    Iheagwara Andrew Ihuoma. Non-Parametric Study of the Attitude of Civil Servants towards Made-in-Nigeria Goods (A Case Study of Owerri Urban, Imo State, Nigeria). Sci. J. Appl. Math. Stat. 2014, 1(5), 70-81. doi: 10.11648/j.sjams.20130105.16

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    AMA Style

    Iheagwara Andrew Ihuoma. Non-Parametric Study of the Attitude of Civil Servants towards Made-in-Nigeria Goods (A Case Study of Owerri Urban, Imo State, Nigeria). Sci J Appl Math Stat. 2014;1(5):70-81. doi: 10.11648/j.sjams.20130105.16

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  • @article{10.11648/j.sjams.20130105.16,
      author = {Iheagwara Andrew Ihuoma},
      title = {Non-Parametric Study of the Attitude of Civil Servants towards Made-in-Nigeria Goods (A Case Study of Owerri Urban, Imo State, Nigeria)},
      journal = {Science Journal of Applied Mathematics and Statistics},
      volume = {1},
      number = {5},
      pages = {70-81},
      doi = {10.11648/j.sjams.20130105.16},
      url = {https://doi.org/10.11648/j.sjams.20130105.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20130105.16},
      abstract = {This study tends to analyze the attitude of civil servants towards made-in-Nigeria goods in Owerri Urban, Imo State. It is an attempt to provide a general picture of the level of acceptability of these goods and ways of raising their quality standards so as to increase demand. The analysis using the Chi-square test showed that the opinion of civil servants on the prices of made in Nigeria goods are independent of sex, educational attainment, level of income and various ages of the civil servants. The analysis using the non-parametric Friedman test revealed that that there is at least a factor that is responsible for the low quality and less durability of made in Nigeria goods. The analysis using the non-parametric Kruskal Wallis test concluded that the suggested opinions are the ways of raising the quality standards of made in Nigeria goods so as to increase demand.},
     year = {2014}
    }
    

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Author Information
  • Department of Statistics, Imo State University, PMB 2000, Owerri Nigeria

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