Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/17931
Title: Government of Tamilnadu treasury employees' expenditure and savings pattern- a census study on Tirunelveli, Thoothukudi and Kanyakumari districts
Researcher: Palanidoss S
Guide(s): Raja Justus E
Keywords: Anova Test
Expenditure and savings pattern
F- test
Government of tamilnadu
kanyakumari districts
Thoothukudi
Tirunelveli
Treasury employees
Upload Date: 24-Apr-2014
University: Manonmaniam Sundaranar University
Completed Date: March, 2011
Abstract: Primary data are nothing but the first hand information about a phenomenon. For this purpose, a personal investigation is made and carefully designed schedules are used. As far as this study is concerned, the information obtained through primary data is found sufficient for this micro level study. Secondary data occupy an important place in every research. These are the information obtained from the published articles, journals, books and administrative reports related to the research from time to time. These secondary data gives meaning and significance to any research work. Any researcher will find it difficult to complete their study if they fail to get adequate secondary data. Hence, a comprehensive study of all the secondary data sources relevant to the study has been explored. The data collected through the use of carefully prepared schedule are logically sequenced for a mathematical and statistical treatment. The present study is a combination of qualitative and quantitative analysis. However, the researcher feels it necessary to have more quantitative analysis for reaching specific conclusions and for meaningful suggestions. Therefore, the qualitative information collected has been quantified, whenever possible, without affecting its originality. Thus, the available quantitative informations are processed with the help of some of the intricate and sophisticated mathematical and statistical tools of analysis. Percentage analysis, Trend analysis, Ranking analysis, Tables, Graphs and Diagrams, Factor analysis, Cluster and Wilks Lambda test, Chi- square test, Canonical correlation, F- test, Anova Test and other statistical tools have been used in the present study.
Pagination: x, 259p.
URI: http://hdl.handle.net/10603/17931
Appears in Departments:V O C College

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01_title.pdfAttached File40.7 kBAdobe PDFView/Open
02_certificate.pdf11.49 kBAdobe PDFView/Open
03_acknowledgement.pdf12.24 kBAdobe PDFView/Open
04_contents.pdf6.03 kBAdobe PDFView/Open
05_list of tables.pdf21.2 kBAdobe PDFView/Open
06_chapter 1.pdf73.74 kBAdobe PDFView/Open
07_chapter 2.pdf1.02 MBAdobe PDFView/Open
08_chapter 3.pdf154.04 kBAdobe PDFView/Open
09_chapter 4.pdf349.6 kBAdobe PDFView/Open
10_chapter 5.pdf93.94 kBAdobe PDFView/Open
11_chapter 6.pdf66.02 kBAdobe PDFView/Open
12_chapter 7.pdf48.94 kBAdobe PDFView/Open
13_references.pdf48.83 kBAdobe PDFView/Open
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