tests for normality
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2020 ◽  
Vol 14 (1) ◽  
pp. 11-20
Author(s):  
Devi Devi ◽  
Dewi Lutfah ◽  
Yeni Irawaty Sihotang ◽  
Rianda Elvinawaty

This study aims to determine the relationship between turnover intentionwith work stress. The hypothesis of this study states that there is a positive relationship between turnover intention and work stress, assuming that the higher the work stress is, the higher the turnover intention, and conversely the lower the work stress is, the lower the turnover intention will be. The subjects of this study were 182 employees of PT. INDAKO TRADING COY MEDAN. Datas were obtained from scales used to measure turnover intention and work stress. Calculations were performed by testing the analysis requirements (assumption) that consisted of tests for normality and linearity. The data were analyzed using Product Moment Correlation with SPSS 20 for Windows. The results of the data analysis showed that the correlation coefficient was 0.405 with a significance value of 0.000 (p <0.05). It showed that there is a positive relationship between turnover intention and work stress. The results of this study indicate that the contributions made by the variable of work stress on turnover intention was 16,4 percent, while the remaining 83,6 percent was influenced by other factors that were not examined. From these results, it is concluded that the hypothesis, which stated that there is a positive relationship between the turnover intention and work stress, is acceptable.


PSYCHE 165 ◽  
2020 ◽  
pp. 269-273
Author(s):  
Fani Natasya ◽  
Vion Vion ◽  
Susi Anjelika ◽  
Heryanto Heryanto

This study aims to determine the relationship between lonely with narcissistic tendencies. The hypothesis of this study states that there is a negative relationship between lonely with narcissistic tendencies, assuming that the higher the lonely is, the lower the narcissistic tendencies, and conversely the lower the lonely is, the higher the narcissistic tendencies will be. The subjects of this study were 256 college students of Universitas Prima Indonesia. Datas were obtained from scales used to measure turnover intention and work stress. Calculations were performed by testing the analysis requirements (assumption) that consisted of tests for normality and linearity. The data were analyzed using Product Moment Correlation with SPSS 20 for Windows. The results of the data analysis showed that the correlation coefficient was – 0,414 with a significance value of 0.000 (p <0.05). It showed that there is a negative relationship between lonely and narcissistic tendencies. The results of this study indicate that the contributions made by the variable of work stress on turnover intention was 17,2 percent, while the remaining 82,8 percent was influenced by other factors that were not examined. From these results, it is concluded that the hypothesis, which stated that there is a negative relationship between the lonely and narcissistic tendencies, is acceptable.


2020 ◽  
Vol 10 (1) ◽  
pp. 7-13
Author(s):  
R. Duchnowski ◽  
P. Wyszkowska

AbstractThe normal distribution is one of the most important distribution in statistics. In the context of geodetic observation analyses, such importance follows Hagen’s hypothesis of elementary errors; however, some papers point to some leptokurtic tendencies in geodetic observation sets. In the case of linear estimators, the normality is guaranteed by normality of the independent observations. The situation is more complex if estimates and/or the functional model are not linear. Then the normality of such estimates can be tested theoretically or empirically by applying one of goodness-of-fit tests.This paper focuses on testing normality of selected variants of the Hodges-Lehmann estimators (HLE). Under some general assumptions the simplest HLEs have asymptotical normality. However, this does not apply to the Hodges-Lehmann weighted estimators (HLWE), which are more applicable in deformation analysis. Thus, the paper presents tests for normality of HLEs and HLWEs. The analyses, which are based on Monte Carlo method and the Jarque–Bera test, prove normality of HLEs. HLWEs do not follow the normal distribution when the functional model is not linear, and the accuracy of observation is relatively low. However, this fact seems not important from the practical point of view.


Author(s):  
Ahmed Raihan Sadat ◽  
Md. Emran Hasan

Stock market is one great indicator of any country’s economic condition. Hence, measuring the capital market in different forms has always been a great interest to finance researchers. This paper measures the market efficiency and randomness of Dhaka stock Exchange (DSE) in weak form employing daily observations (return) from two comparatively new ventured indices viz. DS30 and DSEX. Initially, the study tests for normality using Jarque-Bera test of normality and found data series are not normally distributed. Later, some widely used parametric tests were conducted to examine the historic price dependencies or to examine the random walk hypothesis (RWH) of DSE indices. Augmented Dickey-Fuller test (ADF), Autocorrelation function (ACF), and variance ratio test (Lo & MacKinlay) were used and all of the results suggested DSE to be not efficient in weak form. Meaning, prices of DSE do not follow a random walk.


2018 ◽  
Vol 9 (4) ◽  
pp. 199-218
Author(s):  
Сергей Викторович Зыков ◽  
Алексей Андреевич Незнанов ◽  
Ольга Вениаминовна Максименкова

В статье обсуждается задача проверки гипотез о типе распределения данных, получаемых при измерениях в образовании, в программных системах. Приведён обзор критериев проверки нормальности, имеющих дискретные аппроксимации, что делает их пригодными для реализации в программных системах. Обсуждается место и необходимость применения указанных критериев при автоматизации измерений в образовании. Результаты обзора положены в основу алгоритма подбора критерия или группы критериев в программной системе, ориентированной на измерения в образовании.


2018 ◽  
Vol 4 (1) ◽  
pp. 1-10
Author(s):  
Deby Pratiwi

This study aims to determine the relationship between self esteem with social anxiety. The subjects of this study were 115 adolescents in low socioeconomic status of Lingkungan VIII Belawan I, kecamatan Medan-Belawan. Datas were obtained from scales used to measure self esteem and social anxiety. Calculations were performed by testing the analysis requirements (assumption) that consisted of tests for normality and linearity. The data were analyzed using Product Moment Correlation with SPSS 17 for Windows. The results of the data analysis showed that the correlation coefficient was - 0.595 with a significance value of 0.000 (p <0.05). It showed that there is a negative relationship between self esteem and social anxiety. The results of this study indicate that the contributions made by the variable of self esteem on social anxiety was 35.5 percent, while the remaining 64.5 percent was influenced by other factors that were not examined. From these results, it is concluded that the hypothesis, which stated that there is a negative relationship between the self esteem and social anxiety, is acceptable.


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