scholarly journals Visual Assessment vs. Statistical Goodness of Fit Tests for Identifying Parent Population

1988 ◽  
Vol 32 (7) ◽  
pp. 460-464
Author(s):  
Mari Berry ◽  
Brian Peacock ◽  
Bobbie Foote ◽  
Lawrence Leemis

Statistical tests are used to identify the parent distribution corresponding to a data set. A human observer looking at a histogram can also identify a probability distribution that models the parent distribution. The accuracy of a human observer was compared to the chi-square test for discrete data and the Kolmogorov-Smirnov and chi-square tests for continuous data. The human observer proved more accurate in identifying continuous distributions and the chi-square test proved to be superior in identifying discrete distributions. The effect of sample size and number of intervals in the histogram was included in the experimental design.

2012 ◽  
Vol 10 (2) ◽  
pp. 103-113
Author(s):  
Kamila Bednarz

Goodness of Fit Tests in Modeling the Distribution of the Daily Rate of Return of the WIG20 Companies In this paper a classic rate of return was examined. Due to a limited quantitative range, the study included only the modeling of the rate of return distribution of the WIG20 index and its companies by means of the Laplace distribution and the Gaussian distribution. Additionally, the goodness of fit tests and methods of estimating the aforementioned distributions parameters were thoroughly covered. When applying the Laplace distribution to modeling the rate of return distribution the parameters were determined by means of two methods: the method of moments and the maximum likelihood method. The maximum period was determined, for which usefulness of the distribution in modeling the rates of return distribution was observed, as well as the results of the chi-square test for class intervals with varying length ensuring equal probability, and for intervals with identical length considering two methods of determining the theoretical size: in accordance with the cumulative distribution function as well as on the basis of the probability density function.


2018 ◽  
Vol 1 (1) ◽  
pp. 34
Author(s):  
Ni Nyoman Novita ◽  
Gusman Arsyad

Implementation of IMD in hospitals has decreased from the previous year and has not reached the target set by the government. Some IMD implementation processes have not been carried out according to applicable standards. So that babies do not get an IMD in accordance with existing SOPs. The purpose of this study was to determine the determinant factors associated with the implementation of the IMD by midwives in the Midwifery and Maternity Room Emergency Room (IGD) at the Anutapura General Hospital in Palu. This research method is analytical with cross sectional approach. The population of this study was that all midwives in the obstetrics emergency room and maternity room at Anutapura Palu Hospital were 37 respondents. The sample in this study is total sampling. The analysis used was univariate, and bivariate analysis using the chi square test with a confidence level of 95% (α = 0.05). The results of statistical tests on variable knowledge of midwives with the implementation of IMD p value: 0.018 (p value <0.05). APN training with the implementation of IMD p value: 0.697 (p value> 0.05). length of work with the implementation of IMD p value: 0.029 (p value <0.05). and peer support with the implementation of IMD p value: 0.007 (p value <0.05). Conclusions there is a relationship between knowledge, length of work, peer support with the implementation of the IMD, and training factors that have nothing to do with IMD implementation. The strongest factor in the relationship is peer support. It is recommended that the Anutarapura Palu Hospital be able to motivate midwives so that they can further enhance their role in the implementation and provide support to their colleagues so that the implementation of the IMD can be carried out in accordance with applicable standards.Keywords: Knowledge, APN Training, Duration of work, Implementation of IMD


2020 ◽  
Vol 9 (1) ◽  
pp. 84-88
Author(s):  
Govinda Prasad Dhungana ◽  
Laxmi Prasad Sapkota

 Hemoglobin level is a continuous variable. So, it follows some theoretical probability distribution Normal, Log-normal, Gamma and Weibull distribution having two parameters. There is low variation in observed and expected frequency of Normal distribution in bar diagram. Similarly, calculated value of chi-square test (goodness of fit) is observed which is lower in Normal distribution. Furthermore, plot of PDFof Normal distribution covers larger area of histogram than all of other distribution. Hence Normal distribution is the best fit to predict the hemoglobin level in future.


2015 ◽  
Vol 22 (74) ◽  
pp. 385-404
Author(s):  
Sérgio Fernando Loureiro Rezende ◽  
Ricardo Salera ◽  
José Márcio de Castro

This article aims to confront four theories of firm growth – Optimum Firm Size, Stage Theory of Growth, The Theory of the Growth of the Firm and Dynamic Capabilities – with empirical data derived from a backward-looking longitudinal qualitative case of the growth trajectory of a Brazilian capital goods firm. To do so, we employed Degree of Freedom-Analysis for data analysis. This technique aims to test the empirical strengths of competing theories using statistical tests, in particular Chi-square test. Our results suggest that none of the four theories fully explained the growth of the firm we chose as empirical case. Nevertheless, Dynamic Capabilities was regarded as providing a more satisfactory explanatory power.


2017 ◽  
Vol 21 (4) ◽  
Author(s):  
Deivid Ramos dos Santos ◽  
Laura Maria Vidal Nogueira ◽  
Bárbara Lopes Paiva ◽  
Ivaneide Leal Ataide Rodrigues ◽  
Lívia Félix de Oliveira ◽  
...  

Abstract Objective: To analyze the occurrence of Maternal Mortality in general and in the indigenous population in the state of Pará. Method: A quantitative, analytical and retrospective study was performed, covering a historical series from 2005 to 2014. For the analysis of the results, non-parametric statistical tests, the Chi-square test and the G test were processed in the BioStat 5.0 software program. Results: A total of 884 maternal deaths were reported in the state of Pará, corresponding to a Mortality Rate of 60.7 per 100,000 live births for non-indigenous women and 135.8 per 100,000 live births for indigenous women. Oedema, proteinuria and hypertensive disorders in pregnancy, childbirth and puerperium corresponded to 30.5% (n = 270). Conclusion and Implications for the Practice: Maternal mortality remains a serious public health problem in the state of Pará, clearly demonstrating that indigenous pregnant women require greater care, since they showed higher Maternal Mortality Rates when compared to non-indigenous women.


2021 ◽  
Vol 4 (1) ◽  
pp. 29-37
Author(s):  
Sitti Marya Ulva ◽  
Sinar Jannah

The percentage of families in Lapulu Village that had healthy latrines was 64,84% who met the health requirements and 35,16% who did not meet the health requirements in 2019. This shows that the ownership of healthy latrines is still lower than the national achievement. This study aims to determine the factors associated with low ownership of healthy latrines in the coastal areas of Lapulu Village, Kendari City. The research design was observational, with a cross-sectional approach. The population in this study was 437 respondents, while the study sample was 209 respondents. The sampling technique used was proportional random sampling technique. The analysis were performed using the Chi-Square test. The results of statistical tests with chi-square obtained the value of land availability (p-value=0,000), knowledge (p-value=0,031), and income (p-value=0,000). It can be concluded that there is a relationship between land availability, knowledge, and income levels associated with low ownership of healthy latrines in the tidal area of ​​Lapulu Village, Kendari City. Therefore, it is hoped that the community and local government will establish this inter sector collaboration with related agencies to increase community ownership of healthy latrines.


2020 ◽  
Vol 13 (4) ◽  
pp. 614-621
Author(s):  
Sara E. Ibrahim Mohamed ◽  
Romaz M. Ahmed ◽  
Khaleel I. Z. Jawasreh ◽  
M. A. M. Salih ◽  
Dalia Mursi Abdelhalim ◽  
...  

Background and Aim: The Watish sheep is a strain of desert sheep of smaller size compared to other desert sheep ecotypes, and there is anecdotal evidence that it is endowed with high litter size. The present study was designed for screening for polymorphisms in the known fecundity genes (bone morphogenetic protein receptor type 1B A<G in exon 6, bone morphogenetic protein 15 (BMP15) (FecXB, FecXG, FecXH, and FecXI) in exon2, growth differentiation factor 9 (GDF9) – G1 in exon1 and G8 in exon2 and PRLG<A in intron2) and their association with litter size in Watish. Materials and Methods: The study involved 156 Watish ewes of 2-6 years of age, along with data on litter size in the first, second, and third parity from Sinnar state and contiguous Blue Nile State. Genomic DNA was isolated and genotyped using polymerase chain reaction-restriction fragment length polymorphism. Allele and genotype frequencies were calculated by direct counting. Chi-square test for goodness of fit was performed for agreement with Hardy-Weinberg expectations and association testing. Results: The results demonstrated that all individuals were non-carriers for the target mutations of FecB, BMP15 (FecXB, FecXH, and FecXI), and GDF9-G8. With regard to the GDF9-G1 gene, the genotypic frequencies were 0.07% (G+) and 0.93% (++), in FecXG gene they were 0.993% (++) and 0.006% (B+), in PRL gene 0.516(++), 0.347(B+), and 0.137(BB). The Chi-square test showed a non-significant association between ewe's type of birth and the detected mutations genotypes. Conclusion: These results preliminarily indicated that GDF9-G1, BMP15 (FecXG), and PRL genes might have had some contribution for improving litter size in Watish Sudanese sheep. However, further studies using larger samples are needed to detect the effects of those mutations on Watish sheep litter size.


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