A Statistical Investigation on present condition of Tant: A case study of Sirajgonj district, Bangladesh
Author:
Mst. Dilara Pervin, A. S. M. Abu Saeed, Md. Sabuj Ali, Papia sultana
Abstract
Tant industry is the biggest handicraft industry in our country. At present Tant are declining day by day. The aim of the study to identified the existing problems in the Tant industry, evaluate the socio-economic condition of the workers associated with the Tant industries including Tant households. For this study, data are collected with SRSWOR. Our research project based on the prospective pilot study of survey on Present condition of Tant. Original sampling method is multistage cluster sampling. Firstly, we used in appropriate measure of mean with SD (standard deviation), median with IQR (inter quartile range) and percentage for discrete and continuous data. For modeling at first checked the normal P-P plot to the deviation of income index. The linear regression model was performed to analyze the factors affecting the deviation of income index. We observed that educational level, No of family members, No of Tant at beginning, No of worker, Initial investment, Source of loan, Yearly expenditure, perception on Tant are declining day by day, Designing cloth, Additional job and Involving with Tant since boyhood are significant (P<0.001) to the deviation of income index whereas Marital status, Family status, Price of cloth produced in a week, Investment at present, Colored string themselves, Cloth usually produced are insignificant (P<0.001) effect to the deviation of income index. By Enter method, we do not get the appropriate model, so we get the appropriate model we use to perform another method namely “Forward method”. According to this method in 12th step it consists twelve variable which is Yearly expenditure, No of family members, Perception on Tant are declining day by day, Initial investment, Source of loan, Marital status, Family status, No of Tant at beginning, Involving with Tant since boyhood, Education level, Additional job, Designing cloth. We observed that Yearly expenditure, No of family members, perception on Tant are declining day by day, Initial investment, Source of loan, No of Tant at present, Involving with Tant since boyhood, Education level, Additional job, Designing cloth are significant (P< 0.001) to the deviation of income index whereas Marital status, Family status are insignificant effect to the deviation income index.
Key words: Tant, SRSWOR, SD, IQR, Income index.
| Title: | A Statistical Investigation on present condition of Tant: A case study of Sirajgonj district, Bangladesh |
|---|---|
| Authors: | Mst. Dilara Pervin, A. S. M. Abu Saeed, Md. Sabuj Ali, Papia sultana |
| Journal Name: | International Journal of Science and Business |
| Website: | ijsab.com |
| ISSN: | ISSN 2520-4750 (Online), ISSN 2521-3040 (Print) |
| DOI: | https://doi.org/10.5281/zenodo.1407702 |
| Media: | Online and Print |
| Volume: | 2 |
| Issue: | 4 |
| Acceptance Date: | 02/09/2018 |
| Date of Publication: | 02/09/2018 |
| PDF URL: | https://ijsab.com/wp-content/uploads/272.pdf |
| Free download: | Available |
| Page: | 538-546 |
| First Page: | 538 |
| Last Page: | 546 |
Cite This Article:
Pervin, M. D., Saeed, A. S. M. A., Ali, M. S. & Sultana P. (2018). A Statistical Investigation on present condition of Tant: A case study of Sirajgonj district, Bangladesh. International Journal of Science and Business, 2(4), 538-546. doi: https://doi.org/10.5281/zenodo.1407702
Retrieved from https://ijsab.com/wp-content/uploads/272. pdf
About Authors
Mst. Dilara Pervin, (Corresponding Author) Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.
S. M. Abu Saeed, Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.
Md. Sabuj Ali, Lecturer, Department of Statistics, Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh.
Papia Sultana, Professor, Department of Statistics, Rajshahi University (RU), Rajshahi, Bangladesh.
DOI: https://doi.org/10.5281/zenodo.1407702