Practical Non-Parametric Statistics.

Biometrics ◽  
1981 ◽  
Vol 37 (3) ◽  
pp. 621
Author(s):  
B. M. Brown ◽  
W. J. Conover
Keyword(s):  
Parametric Statistics ◽  
Non Parametric

scholarly journals THE STUDENT’S LEARNING STYLE AND THEIR WRITING SKILL AT SMK TIARA AKSARA

2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Eka Sari ◽  
Ikhfi Imaniah ◽  
Immtihan Hanim
Keyword(s):  
Data Analysis ◽  
Learning Style ◽  
Quantitative Method ◽  
Writing Test ◽  
Writing Skill ◽  
Parametric Statistics ◽  
Non Parametric ◽  
Normally Distributed

Writing is an activity that not only need physical act but also mental act. Students can put their statements, idea and opinion in composing writing. Moreover, students learn with visually, auditory and kinesthetic. Students with multi learning style usually better in learning and understand lessons, particularly in writing. Due to the statement, this study is aimed to find out the correlation between students’ learning style and their writing skill. This study use survey quantitative method and analyze the data by using statitisctical hypotheses. Based on the data analysis, it was found that student’s learning style was not normally distributed, whereas the data of writing test was normally distributed. Therefore, the researchers used non-parametric statistics to analyze the hypotheses. Kendall Tau calculation was used and obtained that Zcount ((0,35) <  Ztable (1,96) with significant 0,05. Thus, H0 is accepted and Hi is rejected. It means that there is no correlation between students’ learning style and their writing skill. In this case, learning style were not dominat factors affected writing skill.

scholarly journals Distribution of plant communities as a function of the relative insolation of the Czyżówki rocky ridge in the Ojców National Park

2014 ◽  
Vol 60 (3-4) ◽  
pp. 327-338
Author(s):  
Stefan Michalik
Keyword(s):  
Plant Communities ◽  
Great Degree ◽  
National Park ◽  
Parametric Statistics ◽  
Microclimatic Conditions ◽  
Non Parametric

Highly significant dependences were found between the distribution of plant communities and the relative insolation on a small rocky ridge with relief and microclimatic conditions varying to a very great degree. The dependences are presented in graphical and numerical forms, and their significance is tested using non-parametric statistics.

NON-PARAMETRIC STATISTICS

2017 ◽  
pp. 145-181 ◽  
Author(s):  
Xizhi Wu ◽  
Zhi Geng ◽  
Qiang Zhao
Keyword(s):  
Parametric Statistics ◽  
Non Parametric

Application of Non-Parametric Statistics and Econometrics Methods in HR-processes Analysing

10.12737/2620 ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 11-16
Author(s):  
Косолапова ◽  
Natalya Kosolapova ◽  
Михалкина ◽  
Elena Mikhalkina ◽  
Скачкова ◽  
...  
Keyword(s):  
Information Analysis ◽  
Source Information ◽  
Independent Variables ◽  
Correlation And Regression Analysis ◽  
Parametric Statistics ◽  
Coefficient Of Concordance ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Qualitative Characteristics ◽  
Non Parametric

Methods of non-parametric statistics, facilitating analysis of processes in the human resource management sphere are reviewed. Such methods allow to explore relationships between qualitative characteristics, between quantitative and qualitative attributes, and to evaluate results generated by expertise. The authors draw examples, showing how to use Spearman’s coefficient, Kendall’s coefficient, coefficient of concordance in studying particular HRM problems, such as employee turnover, job satisfaction level of employees etc. Revealed are the capabilities of correlation and regression analysis and of cluster analysis for evaluating coordinated changes of quantitative factors and for describing dependent variable behaviour with the set of appropriate independent variables. The described analytical toolkit in terms of theory will afford enhancement of research results quality and credibility, and in terms of practice — refinement of source information analysis for further effective decision-making on the HRM issues.

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