%0 Journal Article %1 noauthororeditor %A Thu, Aung Cho | Aung Si %D 2019 %J International Journal of Trend in Scientific Research and Development %K Database Miining SPSS analyze is nurses powerful to %N 5 %P 692-693 %R https://doi.org/10.31142/ijtsrd25329 %T Nurses Data Analysis by Applied SPSS %U https://www.ijtsrd.com/computer-science/data-miining/25329/nurses-data-analysis-by-applied-spss/aung-cho %V 3 %X SPSS is powerful to analyze nurses data. This paper intends to support hospital leaders the benefits of data analyzing with applied SPSS. This paper intends to support the hospital managers and its office managers to know whether hourly salary depends upon nurse experiences and nurse types such as hospital nurse and office nurse. Moreover it analyzes the interesting deviation condition of hospital nurses and office nurses salaries. As SPSS's background algorithms it showed the means algorithm for tables and graph. And then Sample data hourly wage data.sav' was downloaded from Google and was analyzed and viewed. It used IBM SPSS statistics version 23 and PYTHON version 3.7. Aung Cho | Aung Si Thu "Nurses Data Analysis by Applied SPSS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd) ISSN: 2456-6470 Volume-3 | Issue-5 August 2019 URL: https://www.ijtsrd.com/papers/ijtsrd25329.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-miining/25329/nurses-data-analysis-by-applied-spss/aung-cho

@article{noauthororeditor, abstract = {SPSS is powerful to analyze nurses data. This paper intends to support hospital leaders the benefits of data analyzing with applied SPSS. This paper intends to support the hospital managers and its office managers to know whether hourly salary depends upon nurse experiences and nurse types such as hospital nurse and office nurse. Moreover it analyzes the interesting deviation condition of hospital nurses and office nurses salaries. As SPSS's background algorithms it showed the means algorithm for tables and graph. And then Sample data hourly wage data.sav' was downloaded from Google and was analyzed and viewed. It used IBM SPSS statistics version 23 and PYTHON version 3.7. Aung Cho | Aung Si Thu "Nurses Data Analysis by Applied SPSS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd) ISSN: 2456-6470 Volume-3 | Issue-5 August 2019 URL: https://www.ijtsrd.com/papers/ijtsrd25329.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-miining/25329/nurses-data-analysis-by-applied-spss/aung-cho }, added-at = {2019-09-10T14:49:00.000+0200}, author = {Thu, Aung Cho | Aung Si}, biburl = {https://www.bibsonomy.org/bibtex/2c98999dafdcbca3bd756dc7a99d941f4/ijtsrd}, doi = {https://doi.org/10.31142/ijtsrd25329}, interhash = {06a284775fbb7728fca9c54a72676d62}, intrahash = {c98999dafdcbca3bd756dc7a99d941f4}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Database Miining SPSS analyze is nurses powerful to}, language = {English}, month = aug, number = 5, pages = {692-693}, timestamp = {2019-09-10T14:49:00.000+0200}, title = {Nurses Data Analysis by Applied SPSS }, url = {https://www.ijtsrd.com/computer-science/data-miining/25329/nurses-data-analysis-by-applied-spss/aung-cho}, volume = 3, year = 2019 }