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April 29, 2026International Journal of Novel Research and Development0 citationsOpen Access

Educational Awareness for Higher Studies in Rural Areas for Girls : A Statistical Study

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CPCHHAVI PUNDIRDRDr. RICHA

Key Points

  • This research aims to evaluate educational awareness and accessibility for girls in rural areas following the establishment of a university.
  • Collected primary data to assess educational awareness patterns
  • Utilized parametric and non-parametric statistical techniques for analysis
  • Applied ANOVA within a Randomized Block Design framework
  • Conducted Kruskal-Wallis test for verifying statistical significance
  • Recorded and coded responses numerically for ease of analysis
  • Statistically significant differences in educational awareness responses identified
  • Significant observable changes in access to higher education for girls noted
  • Combined statistical techniques enabled systematic comparison of response categories

Abstract

In this paper, A Statistical study of Educational Awareness in Rural Areas for girls has been done. The primary data was collected in order to evaluate patterns of educational awareness and accessibility from rural areas, after the establishment of Maa Shakumbhari University, which is located in Punwarka. The impact of education in rural areas on girls and their family members before and after the establishment of the university has been studied. The answers were recorded in categorical form and were later coded numerically to make statistical analysis easier. The collected data were organized and analyzed using both parametric and non-parametric statistical techniques. A parametric analysis based on ANOVA(Analysis of Variance) within the framework of Randomized Block Design(RBD) was applied to examine variations among response categories. In addition, the Kruskal–Wallis test was used as a non-parametric alternative to verify the statistical significance of the observed differences. The Kruskal-Wallis test is an alternative to One- Way ANOVA. The combined use of these statistical techniques enabled a systematic comparison of responses. It helped to determine whether meaningful variations existed among the categories. The results of the analysis indicate statistically significant differences among responses, suggesting that observable changes in educational awareness. It Access to higher education is reflected in the collected data. The study demonstrates how statistical tools can be effectively applied to interpret categorical survey responses and evaluate educational patterns in rural areas.

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Cite This Study

PUNDIR et al. (2026) studied this question.

synapsesocial.com/papers/69f15432879cb923c49444a5https://doi.org/10.56975/ijnrd.v11i4.323563
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