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Statistical Analysis on Indian Male-Female Literacy Using 2011 Census Data.
In this project, we made a comparision in literacy in India, focusing on gender disparities, using data from the 2011 census. Utilizing R programming, we employ descriptive statistics and analytical tools to understand and quantify the literacy rates among males and females across different regions of India.
Data Source
- https://www.kaggle.com/datasets/danofer/india-census?select=india-districts-census-2011.csv
- https://www.indiastat.com/data/demographics/density/data-year/all-years
Objectives
I. Comparison of Literacy Rates
- Compare literacy rates of different states and union territories with the national average.
- Compare literacy rates for males and females in different states and union territories with the national average.
II. Analysis of Gender Disparities
- Determine significant differences in literacy rates between males and females.
- Assess the variability in literacy rates between males and females to determine significance.
III. Examination of Socio-Religious Factors
- Test hypotheses to identify significant differences in literacy rates among two-way classified religious groups and locations (rural, urban).
- Conduct hypothesis testing to compare literacy rates among different religious groups and between urban and rural populations within various states.
pie
title Education Level in India
"No Formal Education" : 10
"Primary Education" : 20
"Secondary Education" : 35
"Higher Secondary Education" : 20
"Graduate and Above" : 15
flowchart TD
A[Descriptive Statistics] --> B[Education in Different States]
A --> C[Comparison of Male and Female Literacy]
A --> D[National Average Literacy]
A --> E[Comparison with National Average]
A --> F[Statistical Analysis]
F --> G["Normality Check (Shapiro-Wilk Test)"]
F --> H[One-way ANOVA]
F --> I["Two-way ANOVA (One Observation per Cell)"]
pie
title OverAll Literacy Rate by Gender
"Male" : 95
"Female" : 92
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