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Research Paper | Statistics | India | Volume 7 Issue 5, May 2018 | Popularity: 6.6 / 10
Statistical Approach for the Analysis of Stress of Working Women
Dr. C P S Hunagund, V. S. Kulkarni
Abstract: The present paper deals with the analysis of the occupational stress of the working women using t and F statistics. We test the significance of the difference between the means and variances of the stress of working women with respect to certain demographic factors of the three districts of Karnataka state using t and F statistics. To test the equality of means and variances of the stress, the variables considered are age, monthly income, monthly savings and travel time and the demographic factors area, education family type and residence type of the respondents. The research finding reveals that the test of equality of means and variances of age, monthly income, monthly savings and travel time of the respondents shows in most of the cases there is significant difference with respect to demographic factors.
Keywords: Working women, Area, Stress Factors, Demographic Factors, t-test and F-test
Edition: Volume 7 Issue 5, May 2018
Pages: 668 - 672
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Statistics, Nepal, Volume 3 Issue 6, June 2014
Pages: 161 - 166Accelerated Failure Time Models: An Application in the Survival of Acute Liver Failure Patients in India
Shankar Prasad Khanal, V. Sreenivas, Subrat K. Acharya
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Statistics, India, Volume 8 Issue 5, May 2019
Pages: 35 - 39The Implementation of Total Quality Management (TQM) as a Function of Improving Quality in Educational Institutions
Rallabandi Srinivasu, G.V.S.R. Anjaneyulu
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Statistics, Kenya, Volume 8 Issue 5, May 2019
Pages: 66 - 69Survival Analysis of Cancer Patients Using Weibull Parametric Model
Wilson Kiprotich Chepkech, Joel Cheruiyot Chelule, Ayubu Anapapa, Herbert Imboga
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Statistics, India, Volume 9 Issue 3, March 2020
Pages: 1201 - 1204Customer Relationship Management (CRM) Viewed by and Analysed by Probability Distribution
Kamlesh L Patel, Dr. Sanjay G Raval, Dr. S R Patel
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Statistics, Congo, Volume 8 Issue 4, April 2019
Pages: 85 - 95Modeling Tax Revenues Using Kernel Approach Case Study: North Kivu Province (Democratic Republic of Congo) Tax Revenues Time Series Forecasting
Byamungu Wanguwabo David