Andere Kunden interessierten sich auch für
![Meta Analysis of Prognostic Factor Studies Using Individual Data]( "Meta Analysis of Prognostic Factor Studies Using Individual Data")
Meta Analysis of Prognostic Factor Studies Using Individual Data40,99 €![Factors Affecting Knowledge Sharing in Ethiopian Electric Utility]( "Factors Affecting Knowledge Sharing in Ethiopian Electric Utility")
Factors Affecting Knowledge Sharing in Ethiopian Electric Utility46,99 €![Prevalence of coronary risk factors in pre and post menopausal women]( "Prevalence of coronary risk factors in pre and post menopausal women")
Prevalence of coronary risk factors in pre and post menopausal women42,99 €![A Spatio Temporal Analysis of Tea Productivity and Quality in NE India]( "A Spatio Temporal Analysis of Tea Productivity and Quality in NE India")
A Spatio Temporal Analysis of Tea Productivity and Quality in NE India44,99 €![Broadband penetration in the UK, 2006]( "Broadband penetration in the UK, 2006")
Broadband penetration in the UK, 200626,99 €![Some topics on factor and fractional factor]( "Some topics on factor and fractional factor")
Some topics on factor and fractional factor32,99 €![Deterministic Aspects of Mathematical Demography]( "Deterministic Aspects of Mathematical Demography")
Deterministic Aspects of Mathematical Demography38,99 €
Literacy can affect people's lives, of both women and men, through several channels. The objectives of the study were to study the literacy levels of female literacy rate in different States of India as well as the districts of Maharashtra. The study also tried to find the factors affecting female literacy rates in the districts of Maharashtra. The study was based mainly on secondary data from the Census. Advance Statistical techniques like Factor Analysis, Principal Component Analysis and Stepwise Multiple Regression Analyses were used in the study. Fifteen factors were used in the study as variables affecting the female literacy rate in the combine data of Maharashtra. Two indexes were developed in the study namely economic wealth index and medical index using statistical techniques like Principal Component Analysis. In rural areas as well as urban areas four principal components were extracted. Based on maximum loadings the variables were divided into four groups of factors. The study gave many suggestions to improve female literacy in the districts of Maharashtra on the bases of the findings of the study.