Considerations when choosing a statistical method for data analysis

Author(s):  
Duncan McKechnie ◽  
Murray Fisher
2020 ◽  
Vol 18 (2) ◽  
pp. 138-148
Author(s):  
Elfira Silaen

The purpose of this study was to determine the effect of Picture and Picture Learning Model on students’ interest in Learning Christian Religion Education of Grade VII in SMP Negeri 2 DolokSanggul Academic Year 2019/2020.The method used in this research is inferential statistical method. The population was all grade VII students of SMP Negeri 2 DolokSanggul Academic Year 2019/2020 with a total of 281 people and a sample of 32 people. Data were collected with a closed questionnaire of 35 items.The results of data analysis showed that the Picture and Picture Learning Model had a positive and significant effect on students’ interest in Learning Christian Religion Education of Grade VII in SMP Negeri 2 DolokSanggul Academic Year 2019/2020 with data analysis as follows: 1. Test requirements for analysis: a) A positive relationship test obtained rxy = 0.745 rtable = 0.349; b) Significant relationship test obtained tcount = 6.109 ttable = 1.697 between variable X with variable Y. 2. Influence test: a) Regression equation test obtained a regression equation with a regression determination coefficient r ^ 2 = 55, 5% and Fcount Ftable = 1.92 1.62, thus Ha and H0 were rejected. There is a positive and significant effect of the Picture and Picture Learning Model on students’ interest in Learning Christian Religion Education of Grade VII in SMP Negeri 2 DolokSanggul Academic Year 2019/2020. Keywords: Picture and picture Learning Model, Students’ Learning Interest, Christian Religion Education


2020 ◽  
Vol 10 (4) ◽  
pp. 1282 ◽  
Author(s):  
Agnieszka Bielińska ◽  
Dorota Bielińska-Wa̧ż ◽  
Piotr Wa̧ż

The aim of this work is to present new classification maps in health informatics and to show that they are useful in data analysis. A statistical method, correspondence analysis, has been applied for obtaining these maps. This approach has been applied to studies on expectations and worries related to the retirement threshold. For this purpose two questionnaires formulated by ourselves have been constructed. Groups of individuals and their answers to particular questions are represented by points in the classification maps. The distribution of these points reflects psychological attitudes of the considered population. In particular, we compared structures of the maps searching for factors such as gender, marital status, kind of work, economic situation, and intellectual activity related to the attendance the University of the Third Age, which are essential at the retirement threshold. Generally, in Polish society, retirement is evaluated as a positive experience and the majority of retirees do not want to return to their professional work. This result is independent of the kind of work and of the gender.


2012 ◽  
Vol 594-597 ◽  
pp. 1407-1411
Author(s):  
Ying De Hu ◽  
Mao Dong Xiong ◽  
Tian Tang Yu

Nine test lab comparative test indexes of asphalt and asphalt mixtures are analyzed by consistent statistic analysis method of ASTM E691 and Robust statistical analysis method, analysis results indicate that two methods are basically in consistent with each other, but dubious analysis index is added in Robust statistical method, and reliability is possibly enhanced on data analysis. Combined with advantages and disadvantages of two methods, the paper suggests that two statistical method can associated with each other in statistical data analysis.


Since 17th Century, Modern representative democracy in all forms is being made possible by having a formal way of collecting people's overall opinion on who is to be chosen as their representative. Election is a most important event in any democratic country. Confronting on predicting the winning person/party in the election is the biggest challenge here. In this paper, a study of spatial statistics method to predict the election result using the exploratory data analysis is carried out by applying spatial statistical methods. The paper presents, prediction of the election result with respect to the income level of the citizen and also a comparison of results obtained from the different statistical methods


2016 ◽  
Vol 10 (3) ◽  
pp. 79
Author(s):  
Ali Dolatshah ◽  
Masood Ghorban Hosseini ◽  
Masoud Ghorban hosseini

This research intended to study the relation in between cultural intelligence and organizational commitment among the staff of Arman financial institute in Tehran. From all the staff in Arman financial institute by the use of available sampling 234 were selected as the sample of the research. The subjects responded to the cultural intelligence questionnaire (Ank et al., 2004) and organizational commitment (Alen and Maier 1990). The statistical method implemented in this research for data analysis revealed multiple regression and Pearson correlation. The research findings showed that there is a negative and significant relation between cultural intelligence and organizational commitment.


2015 ◽  
Vol 29 (12) ◽  
pp. 8195-8207 ◽  
Author(s):  
Thor M. Svartaas ◽  
Wei Ke ◽  
Sergei Tantciura ◽  
Aina U. Bratland

2016 ◽  
Vol 10 (3) ◽  
pp. 184
Author(s):  
Ali Dolatshah ◽  
Masood Ghorban Hosseini

<p>This research intended to study the relation in between cultural intelligence and burnout among the staff of<br />Arman financial institute in Tehran. From all the staff in Arman financial institute by the use of available<br />sampling 234 were selected as the sample of the research. The subjects responded to the cultural intelligence<br />questionnaire (Ank et al., 2004) and burnout (Maselch, 1985). The statistical method implemented in this<br />research for data analysis revealed multiple regression and Pearson correlation. The research findings showed<br />that there is a negative and significant relation between cultural intelligence and burnout.</p>


2013 ◽  
Vol 411-414 ◽  
pp. 1979-1985
Author(s):  
Zhe Su ◽  
Shu Qin Li ◽  
Yun Lu Jia ◽  
Li Wei Zheng ◽  
Si Cong Fan

The GA(Genetic Algorithm) is used in this paper to solve the evaluation problem in the checkers game. The evaluation parameter is chosen based on six critical facts, such as the number of black pieces and the number of red pieces. The evaluation function is linear with different weights. Using the weights as the chromosome, along with the local hill-climbing method in GA and the mathematical statistical method to choose child generation, the algorithm realizes evolution automatically. With sufficient evolution times, new chromosome appears, leading to the formation of an optimized evaluation function. Based on the experimental data analysis, the algorithm could enhance the power of checkers program effectively.


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