scholarly journals THE METHODOLOGY OF APPLYING THE “DATA VOLLEY” PROGRAMME OF STATISTICAL ANALYSIS WITHIN VOLLEYBALL SPORTS COMPETITIONS

2021 ◽  
Author(s):  
Neculai Harabagiu ◽  
Keyword(s):  
Statistical Analysis ◽  
Point Of View ◽  
Analysis Software ◽  
Training Process ◽  
Analysis And Evaluation ◽  
Evaluation Methodologies ◽  
Important Means ◽  
The Moment ◽  
Technological Methods ◽  
Statistical Analysis Software

In volleyball as in other sports games, the statistical analysis of the competition is considered to be an important means of diagnosing performance in order to determine parameters for targeting the training process, ideas and strategies during competitions. In recent years, the volleyball game has become more and more dynamic, being characterized by the variety of game phases and the speed at which they alternate during competitions. As a result, the game has become increasingly difficult to follow, without having available new technological methods to help the coach track the multitude of game actions for each player or the entire team. At the international level, there are several performance evaluation methodologies, but in Romania, at senior level there are not many such methods of analysis and evaluation that give us complete and objective statistics on performance. At the moment, a very effective methodology from our point of view, which can be applied in the practice of volleyball, is the „Data Volley‟ statistical analysis. This program of evaluating performance is a very complex one and offers us many opportunities. Thus, in this paper, we propose the application of this statistical analysis software in the official competitions of the volleyball game, at senior level.

Regression Analysis on Influences of Hem Parameters on Flare Sagging of Semi-Circular Skirt

2011 ◽  
Vol 331 ◽  
pp. 594-598
Author(s):  
Hong Ni
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Measured Data ◽  
Silk Fabric ◽  
Linear Regression Equation ◽  
Analysis Software ◽  
Wool Fabrics ◽  
Object Of Study ◽  
The Relationship ◽  
Statistical Analysis Software

Select 45 pieces of silk, cotton and wool fabrics in total, with semi-circular skirt modeling as object of study, investigate the relationship between flare sagging in straight & inclined grains of skirt pieces and fabric types, analyze the influence of hem parameters on flare sagging of semi-circular skirt and obtain multiple linear regression equation by disposing the measured data with SPSS statistical analysis software. The study result shows that the skirt hem of silk fabric is sagging more significantly than that of cotton and wool fabrics and there is a multi-linear relationship between semi-circular flare sagging and parameters.The research of this subject has both theoretical value and practical value.

Rhotics of Taos, New Mexico Spanish: Variation and Change

2018 ◽  
Vol 11 (1) ◽  
pp. 215-264
Author(s):  
Donny A. Vigil
Keyword(s):  
New Mexico ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Speech Analysis ◽  
Analysis Software ◽  
Multivariate Statistical ◽  
Conditioning Factors ◽  
Word Position ◽  
Statistical Analysis Software ◽  
Age And Sex

Abstract Although some researchers report the normative production of the rhotics in Traditional New Mexico Spanish, others have reported variability, including the presence of an English-like vocalized rhotic. In the present study, 29 speakers of Spanish from Taos, a city in northern New Mexico, were interviewed and the rhotics of their speech were categorized, quantified and analyzed using speech analysis and multivariate statistical analysis software. The results show variation and change when compared to previous reports (both recent and of over a century ago). In spontaneous and elicited speech, ten distinct rhotic variants, subsequently recoded into five categories, were observed and quantified. Moreover, approximant and assibilated variants have notable frequencies and conditioning factors. VARBRUL analyses reveal phonological context, stress, word position, age, and sex as significant conditioning factors.

scholarly journals Avaliação técnica do dispositivo de fechamento vascular Exoseal-Cordis®

2017 ◽  
Vol 16 (2) ◽  
pp. 98-103
Author(s):  
Altino Ono Moraes ◽  
Rogério Yoshikazu Nabeshima ◽  
Ericsson Fernando Viotto ◽  
Marcelo Hiroshi Estevam Yoshida ◽  
Jihad Mohamad Mansour Abdallah ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Analysis Software ◽  
Statistical Analysis Software

Resumo Contexto Os dispositivos de oclusão vascular (DOV) permitem rápida remoção da bainha introdutora de um acesso arterial, reduzindo o tempo de hemostasia, a restrição do paciente ao leito e as complicações no sítio de punção. Objetivos Avaliar a eficácia e possíveis complicações do uso de dispositivo de oclusão arterial comparado com a compressão manual. Métodos Estudo longitudinal prospectivo randomizado com 20 pacientes no período de dezembro de 2014 a julho de 2015 em Maringá (PR). Foram divididos em dois grupos: aqueles que utilizaram DOV (grupo DOV) e aqueles submetido apenas a compressão manual (grupo CM). Realizaram-se exames de ultrassom Doppler para avaliar a espessura pele-artéria pré e pós-procedimento e verificou-se o tempo de compressão e de deambulação. Os dados foram analisados pelo Programa Statistical Analysis Software. Resultados Um total de 60% dos pacientes eram do sexo masculino e a média de idade de ambos os grupos foi de aproximadamente 60 anos. Não houve diferença na espessura pele-artéria entre os grupos. O tempo de compressão no grupo DOV foi de 2 minutos e no grupo CM foi de 21±2,11 minutos (p = 0,0005), e o tempo para retorno de movimentos no membro inferior puncionado foi de 2,35±0,75 horas no grupo DOV e de 6 horas no grupo CM (p = 0,0005). Não houve complicações. Conclusões Neste estudo a hemostasia por compressão manual foi tão efetiva quanto o uso de DOV, embora o tempo de compressão e o tempo para retorno às atividades sejam menores nos pacientes submetidos ao uso do dispositivo.

Analysis of Machining Workshop Manufacturing Based on Unit K Means Clustering

2014 ◽  
Vol 945-949 ◽  
pp. 3152-3155
Author(s):  
Di Liang ◽  
Fen Kong ◽  
Dan Dan Xu ◽  
Gui Zhi Sun
Keyword(s):  
Statistical Analysis ◽  
Machine Tool ◽  
Clustering Analysis ◽  
Clustering Algorithm ◽  
Work Efficiency ◽  
Analysis Software ◽  
The Cost ◽  
Mechanical Machining ◽  
Statistical Analysis Software

In order to improve the mechanical machining enterprise work efficiency, reduce the cost of enterprise, the process of enterprise existence of similar parts processing by cluster was analysized, using K-means clustering algorithm and the statistical analysis software SPSS with K means clustering analysis function, which grouped the machine tool matrix, and then realized the unit manufacturing.

scholarly journals The Correlation Between Distance Travelled And Spending

2015 ◽  
Vol 1 (1) ◽  
pp. 10-14
Author(s):  
Remington Free ◽  
Raphael Goldman-Pham ◽  
Maxim Vorobyov ◽  
Devin Vyas
Keyword(s):  
Statistical Analysis ◽  
Extended Period ◽  
Grocery Store ◽  
Analysis Software ◽  
Microsoft Excel ◽  
Data Set ◽  
School Competition ◽  
Initial Hypothesis ◽  
Approximate Distance ◽  
Statistical Analysis Software

The research was done for a high school competition where teams were given a data set of grocery store transactions and asked to pull interesting information out of the data. Our approach was to determine whether the approximate distance between the customer's home and the store had any impact on their spending, the hypothesis being that the greater the distance, the more the customer would spend over an extended period of time (three years). The reasoning behind this was that customers who travelled greater distances to reach a specific store would likely be motivated to buy more in order to justify the greater journey. The primary tools we used to test our hypothesis were Statistical Analysis Software (SAS) and Microsoft Excel. Our results obtained contradicted the initial hypothesis; it was found that shoppers who live closer to the stores spend much more than those who live further away.

scholarly journals The Application of SPSS in Statistical Analysis Project—A Study of the Inheritance of Chinese Traditional Shadow Play in Schools

2020 ◽  
Vol 4 (7) ◽  
Author(s):  
Wenjie Ye
Keyword(s):  
Statistical Analysis ◽  
Cultural Values ◽  
Statistical Data ◽  
Intangible Cultural Heritage ◽  
Analysis Software ◽  
Traditional Art ◽  
Art Form ◽  
The Social ◽  
Shadow Play ◽  
Statistical Analysis Software

Chinese traditional shadow play has been selected into the List of Intangible Cultural Heritage in 2011. Yet, reflecting abundant national cultural values, such traditional art form is degenerating and fading out from people’s sight. As the earliest statistical analysis software, Statistical Package for the Social Science (SPSS) is comprehensive in analyzing and managing statistical data. This study explores the application of SPSS in minimizing the workload of researchers while raising the validity of data in supporting the analysis of the survey data which reflected the inheritance and development of Chinese traditional shadow play in schools.

scholarly journals Provenance metadata for statistical data: An introduction to Structured Data Transformation Language (SDTL)

2020 ◽  
Vol 44 (4) ◽  
Author(s):  
George Alter ◽  
Darrell Donakowski ◽  
Jack Gager ◽  
Pascal Heus ◽  
Carson Hunter ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Statistical Data ◽  
Data Transformation ◽  
Structured Data ◽  
Automated System ◽  
Analysis Software ◽  
Statistical Software ◽  
Transformation Language ◽  
Data Tables ◽  
Statistical Analysis Software

Structured Data Transformation Language (SDTL) provides structured, machine actionable representations of data transformation commands found in statistical analysis software.   The Continuous Capture of Metadata for Statistical Data Project (C2Metadata) created SDTL as part of an automated system that captures provenance metadata from data transformation scripts and adds variable derivations to standard metadata files.  SDTL also has potential for auditing scripts and for translating scripts between languages.  SDTL is expressed in a set of JSON schemas, which are machine actionable and easily serialized to other formats.  Statistical software languages have a number of special features that have been carried into SDTL.  We explain how SDTL handles differences among statistical languages and complex operations, such as merging files and reshaping data tables from “wide” to “long”. 

Sign in / Sign up

Export Citation Format

Share Document