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Preliminary Statistical Analysis of South Central Railway Zone Income and Passengers–A Case Study

M. Sailaja1 , A. Rajendra Prasad2

Section:Research Paper, Product Type: Journal-Paper
Vol.6 , Issue.4 , pp.49-57, Aug-2019


CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i4.4957


Online published on Aug 31, 2019


Copyright © M. Sailaja, A. Rajendra Prasad . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: M. Sailaja, A. Rajendra Prasad, “Preliminary Statistical Analysis of South Central Railway Zone Income and Passengers–A Case Study,” International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.6, Issue.4, pp.49-57, 2019.

MLA Style Citation: M. Sailaja, A. Rajendra Prasad "Preliminary Statistical Analysis of South Central Railway Zone Income and Passengers–A Case Study." International Journal of Scientific Research in Mathematical and Statistical Sciences 6.4 (2019): 49-57.

APA Style Citation: M. Sailaja, A. Rajendra Prasad, (2019). Preliminary Statistical Analysis of South Central Railway Zone Income and Passengers–A Case Study. International Journal of Scientific Research in Mathematical and Statistical Sciences, 6(4), 49-57.

BibTex Style Citation:
@article{Sailaja_2019,
author = {M. Sailaja, A. Rajendra Prasad},
title = {Preliminary Statistical Analysis of South Central Railway Zone Income and Passengers–A Case Study},
journal = {International Journal of Scientific Research in Mathematical and Statistical Sciences},
issue_date = {8 2019},
volume = {6},
Issue = {4},
month = {8},
year = {2019},
issn = {2347-2693},
pages = {49-57},
url = {https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=1429},
doi = {https://doi.org/10.26438/ijcse/v6i4.4957}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i4.4957}
UR - https://www.isroset.org/journal/IJSRMSS/full_paper_view.php?paper_id=1429
TI - Preliminary Statistical Analysis of South Central Railway Zone Income and Passengers–A Case Study
T2 - International Journal of Scientific Research in Mathematical and Statistical Sciences
AU - M. Sailaja, A. Rajendra Prasad
PY - 2019
DA - 2019/08/31
PB - IJCSE, Indore, INDIA
SP - 49-57
IS - 4
VL - 6
SN - 2347-2693
ER -

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Abstract :
In recent times railways are playing vital role in transportation of goods and passengers throughout India. Further demand for railway zone and more number of trains is increasing day by day. The South Central Railway (SCR) is one of the 18 zones of Indian Railways which contains the states of Maharashtra, Telangana, and some portions of Madhya Pradesh. It has three divisions under its administration, which include Nanded, Secunderabad and Hyderabad. There is a necessity to analyse and forecast the facilities provided by the railway department to passengers for necessary improvements. This paper deals with the relationship between the number of passengers travelled and income generated to South Central Railway (SCR) Zone. The data was collected from January 2009 to December 2017 and analyzed using various Statistical Techniques like Curve fitting, Correlation, Regression, ANOVA. It was found that the second degree parabola is the best fit for the data and there is high degree positive correlation between number of passengers and income.

Key-Words / Index Term :
Correlation, Regression, ANOVA, SCR

References :
[1]. Gupta S.C. and KapoorV.K.2000.”Fundamental of Mathematical Statistics”, NewDelhi: S. Chand Company.
[2]. Gupta S.C. and KapoorV.K.2000.”Fundamental of Applied Statistics”. Third Edition. NewDelhi:S.Chand Company.
[3]. Parimal Mukhopadhyay “Applied Statistics” New Delhi: New Central Book Agency.
[4]. Daroga singh & F.S. Chowdhary “Theory & Analysis of ,Sample Survey designs” New Delhi: Wiley Eastern India.
[5]. . C.R.Rao, "LinearStatisticalInference anditsApplications"
[6]. F.A.Graybill,"AnIntroductiontoLinearStatisticalModel"
[7]. Glutman,"LinearModels–AnIntroduction"
[8]. N.R. Draper and H. Smith,"Applied Regression Analysis"

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