scholarly journals Statistical Analysis for Effect Factor to Pupils’ Level in Mathematical Course for Preparatory Education

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Hadeel Ismail Mustafa ◽  
Mohamed Abdulrahman Abdulhamed ◽  
Zainab Ibrahim Othman
Keyword(s):  
Statistical Analysis ◽  
Educational Institution ◽  
Real Data ◽  
Effect Factors ◽  
Preparatory School ◽  
Effect Factor ◽  
Student Failure ◽  
Educational Foundation ◽  
Low Levels ◽  
Ability Student

In an educational foundation whose objective is to contribute to the enhancement of the finest education, the improvement of quality in an educational institution is verified by providing the best services which are better meeting each student’s need. General, in preparatory school in Iraq—especially in Basra—the students’ ability in mathematical courses is low levels based General, in preparatory school in Iraq—especially in Basra—the students’ ability in mathematical courses is low levels based. In this study, we discussed the effect of diverse factors on student failure and success using real data collected in many of the schools in Basra. These data were analyzed using SPSS version 0.23. At the end of the study, we identified the factors that could have affected the students’ capabilities (e.g., teachers’ ability, student effect factors, and institutional ability).

Multimetric statistical analysis of behavior in mice selected for high and low levels of isolation-induced male aggression

2007 ◽  
Vol 75 (1) ◽  
pp. 23-32 ◽  
Author(s):  
O.Yu. Vekovischeva ◽  
E.V. Verbitskaya ◽  
T. Aitta-aho ◽  
K. Sandnabba ◽  
E.R. Korpi
Keyword(s):  
Statistical Analysis ◽  
Male Aggression ◽  
Low Levels

scholarly journals A need of COVID19 vaccination for children aged <12 years: Comparative evidence from the clinical characteristics in patients during a recent Delta surge (B.1.617.2)

2021 ◽  
Author(s):  
Hongru Li ◽  
Haibin Lin ◽  
Xiaoping Chen ◽  
Hang Li ◽  
Hong Li ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Nucleic Acid ◽  
Peripheral Blood Lymphocyte ◽  
Peripheral Blood ◽  
Blood Lymphocyte ◽  
Clinical Characteristics ◽  
Transmission Route ◽  
Effect Factors ◽  
Realtime Pcr ◽  
Family Contact

Objective: To evaluate the necessity of Covid-19 vaccination in children aged < 12 y by comparing the clinical characteristics in unvaccinated children aged < 12 y with vaccinated patients aged > 12y during the Delta surge (B.1.617.2) in Putian, Fujian, China. Methods: A total of 226 patients with SARS-Cov-2 Delta variant (B.1.167.2; confirmed by Realtime PCR positive and sequencing) were enrolled from Sep 10th to Oct 20th, 2021, including 77 unvaccinated children (aged < 12y) and 149 people aged > 12y, mostly vaccinated. The transmission route was explored and the clinical data of two groups were compared;the effect factors for the time of the nucleic acid negativization (NAN) were examined by R statistical analysis. Results: The Delta surge in Putian spread from children in schools to factories, mostly through family contact. Compared with those aged; 12y, patients aged < 12y accounted for 34.07% of the total and showed milder fever, less cough and fatigue; they reported higher peripheral blood lymphocyte counts [1.84(1.32,2.71)× 10^9/L vs. 1.31(0.94,1.85)× 10^9/L; p<0.05), higher normal CRP rate (92.21% vs. 57.72%), lower IL-6 levels [5.28(3.31,8.13) vs. 9.10(4.37,15.14); p<0.05]. Upon admission, their COVID19 antibodies (IgM and IgG) and IgG in convalescence were lower [0.13(0.00,0.09) vs. 0.12(0.03,0.41), p<0.05; 0.02(0.00,0.14) vs. 1.94(0.54,6.40), p <0.05; 5.46(2.41,9.26) vs. 73.63 (54.63,86.55), p<0.05, respectively], but longer NAN time (18 days vs. 16 days, p=0.13). Conclusion: Children aged < 12y may be critical hidden spreaders, which indicates an urgent need of vaccination for this particular population.

Hardiness as a Moderator in the Relationship Between Emotional Autonomy and Depression Among Adolescents

2019 ◽  
Vol 34 (2) ◽  
pp. 299-309
Author(s):  
Rupan Dhillon ◽  
Nishtha Mehra
Keyword(s):  
Statistical Analysis ◽  
Beck Depression Inventory ◽  
Sampling Technique ◽  
Personal View ◽  
Emotional Autonomy ◽  
Significant Difference ◽  
Low Levels ◽  
The Relationship

The present study has been designed to study the hardiness as a moderating variable in the autonomy and depression relationship. For this purpose, a sample of 300 adolescents (boys = 129, girls = 171) was collected belonging to 16 to 19 years of age. Incidental sampling technique was employed. The Emotional Autonomy Scale (Steinberg & Silverberg, 1986), Beck Depression Inventory (Beck, 1961) and Personal View Survey (Kobasa, 1986) were used to study the variables. Statistical analysis revealed emotional autonomy as a significant predictor of depression. Hardiness moderates this relationship significantly. There was a significant difference in the relationship between depression and emotional autonomy for three levels of hardiness (low, average, and high). The relationship between emotional autonomy and depression was observed to be stronger for low levels of hardiness.

scholarly journals Early Phase of the COVID-19 Outbreak in Hungary and Post-Lockdown Scenarios

Viruses ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 708 ◽  
Author(s):  
Gergely Röst ◽  
Ferenc A. Bartha ◽  
Norbert Bogya ◽  
Péter Boldog ◽  
Attila Dénes ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Spatial Heterogeneity ◽  
Early Phase ◽  
Disease Burden ◽  
Compartmental Model ◽  
Seasonal Effects ◽  
Low Levels ◽  
Age Structured ◽  
Epidemic Wave ◽  
Pharmaceutical Interventions

COVID-19 epidemic has been suppressed in Hungary due to timely non-pharmaceutical interventions, prompting a considerable reduction in the number of contacts and transmission of the virus. This strategy was effective in preventing epidemic growth and reducing the incidence of COVID-19 to low levels. In this report, we present the first epidemiological and statistical analysis of the early phase of the COVID-19 outbreak in Hungary. Then, we establish an age-structured compartmental model to explore alternative post-lockdown scenarios. We incorporate various factors, such as age-specific measures, seasonal effects, and spatial heterogeneity to project the possible peak size and disease burden of a COVID-19 epidemic wave after the current measures are relaxed.

scholarly journals Efficiency of sector sampling for estimating juniper forest attributes vs. fixed area plot

2017 ◽  
Vol 63 (No. 10) ◽  
pp. 463-469
Author(s):  
Seraj Mohammad Hussein ◽  
Kiani Bahman
Keyword(s):  
Statistical Analysis ◽  
Sampling Error ◽  
Real Data ◽  
Cost Effective ◽  
Mountain Areas ◽  
Crown Cover ◽  
Significant Difference ◽  
Fixed Area ◽  
Sector Angle ◽  
Juniper Forests

Juniper forests grow in mountain areas and many difficulties are encountered in their sampling. Sector sampling as an unbiased and cost-effective method was tested for the sampling of a 12.5-ha juniper forest. To begin with, a point-map of trees was created and 50 quadrats were determined systematically. Fixed area plots were measured within these 50 × 50 m quadrats. In each quadrat, eight sectors with 45° angle were determined. One-sector and two-sector scenarios randomly besides four-sector scenario systematically were conducted. Accuracy and precision of sampling methods were compared. Also, statistical analysis was conducted to compare sector sampling scenarios with fixed area plot (FAP) and real data. Results showed that four-sector scenario estimates were close to FAP method in precision and accuracy. Statistical analysis showed that there was no significant difference between sector sampling scenarios and FAP and in real data. But in correlation analysis only the four-sector scenario could compete with FAP method. Regarding consumed time and sampling error simultaneously, the efficiency of sector sampling was higher than that of FAP method for estimating density and close to FAP method for estimating crown cover. It can be concluded that in laborious situations such as in juniper forests, sector sampling can be competitive with FAP method with noticeable parsimony. But more study is still needed to decrease sampling error and optimize sector angle with the purpose of cost saving.

The `seed-skewness' integration method generalized for three-dimensional Bragg peaks

2003 ◽  
Vol 36 (6) ◽  
pp. 1475-1479 ◽  
Author(s):  
J. Peters
Keyword(s):  
Statistical Analysis ◽  
High Resolution ◽  
Integration Method ◽  
A Priori ◽  
Reciprocal Lattice ◽  
Three Dimensional ◽  
Real Data ◽  
Area Detector ◽  
Peak Integration ◽  
Electronic Detector

The integration of the three-dimensional profile of each node of the reciprocal lattice without ana priorimodelling of the shape of the reflections is a prerequisite in order to improve the capability of area detectors in diffraction studies. Bolotovskyet al.[J. Appl. Cryst.(1995),28, 86–95] published a new method of area-detector peak integration based on a statistical analysis of pixel intensities and suggested its generalization for processing of high-resolution three-dimensional electronic detector data. This has been done in the present work, respecting the special requirements of data collected from neutron diffraction. The results are compared with other integration methods. It is shown that the seed-skewness method is successful in giving very reliable results and simultaneously optimizes the standard deviations. The integration procedures are applied to real data, which are refined and compared with benchmark results.

The statistical analysis of non-normal (real?) data

1979 ◽  
Vol 4 (10) ◽  
pp. 236-239 ◽  
Author(s):  
I.A. Nimmo ◽  
G.L. Atkins
Keyword(s):  
Statistical Analysis ◽  
Real Data

scholarly journals Statistical analysis of the community lockdown for COVID-19 pandemic

2021 ◽  
Author(s):  
Shaocong Wu ◽  
Xiaolong Wang ◽  
Jingyong Su
Keyword(s):  
Statistical Analysis ◽  
Simulation Models ◽  
Real Data ◽  
Control Measures ◽  
Complex Dynamic ◽  
Spreading Process ◽  
Modeling And Analysis ◽  
Basic Assumptions ◽  
Global Pandemic ◽  
Multiple Variables

AbstractAs the global pandemic of the COVID-19 continues, the statistical modeling and analysis of the spreading process of COVID-19 have attracted widespread attention. Various propagation simulation models have been proposed to predict the spread of the epidemic and the effectiveness of related control measures. These models play an indispensable role in understanding the complex dynamic situation of the epidemic. Most existing work studies the spread of epidemic at two levels including population and agent. However, there is no comprehensive statistical analysis of community lockdown measures and corresponding control effects. This paper performs a statistical analysis of the effectiveness of community lockdown based on the Agent-Level Pandemic Simulation (ALPS) model. We propose a statistical model to analyze multiple variables affecting the COVID-19 pandemic, which include the timings of implementing and lifting lockdown, the crowd mobility, and other factors. Specifically, a motion model followed by ALPS and related basic assumptions is discussed first. Then the model has been evaluated using the real data of COVID-19. The simulation study and comparison with real data have validated the effectiveness of our model.

scholarly journals Statistical Analysis for Prognosis of a Photochemical Smog Episode

2013 ◽  
Vol 9 (2) ◽  
pp. 20-24
Author(s):  
Camelia Gavrilă ◽  
Florinela Ardelean ◽  
Adriana Coman ◽  
Elena Burchiu
Keyword(s):  
Statistical Analysis ◽  
Solar Radiation ◽  
Prognostic Value ◽  
Meteorological Parameters ◽  
Real Data ◽  
Global Solar Radiation ◽  
Photochemical Smog ◽  
Climatic Parameters ◽  
Essential Information ◽  
Pollutant Concentrations

Abstract In this paper we describe the evaluation of various climatic parameters in establishing their prognostic value in a photochemical smog episode. Our application was validated using real data from the “Cercul Militar National” and “Sos. Mihai Bravu nr. 47-49”, from April 2008 to May 2008. The study was performed on hour averages of pollutant concentrations and meteorological parameters and the statistical analysis was based on multiple regressions. We concluded by using mathematical and statistical methods, [1], that an accurate Global Solar Radiation is one of the most important and essential information in the pollution report.

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