scholarly journals Statistical Analysis of Basketball Teams Through Normal Distribution and R Programming

2020 ◽  
Vol 4 (9) ◽  
Author(s):  
Megan Wang
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Probability Density Function ◽  
Normal Distribution ◽  
Sports Analytics ◽  
R Programming Language ◽  
General Improvement ◽  
The Mean ◽  
R Programming ◽  
Two Parameters

Basketball has existed for almost 130 years, becoming one of the most famous sports worldwide by affecting millions of lives and having national and global tournaments. With the general improvement of people's concern and love for sports competition, sports analytics’ role will become more prominent. Hence, this paper combines the relevant knowledge of statistics and typical basketball competition cases from NBA, expounding the application of statistics in sports competition. The paper first examines the importance of normal distribution (also called Gaussian distribution) in statistics through its probability density function and the function's graph. The function has two parameters: the mean for the maximum and standard deviation for the distance away from the mean[1]. By compiling datasets of past teams and individuals for their basketball performances and making simple calculations of their standard deviation and mean, the paper constructs normal distribution graphs using the R programming language. Finally, the paper examines the Real Plus-Minus value and its importance in basketball.

scholarly journals Estudio preliminar de la adquisición de conocimientos de la concienciación ecológica en la educación secundaria obligatoria: La educación ambiental entre los adolescentes del nordeste de España / Preliminar Study of the Acquisition of Ecological Consciousness in the Secondary School: Environmental Education among Teenagers of the Northeast of Spain

2016 ◽  
Vol 3 (2) ◽  
pp. 131-140
Author(s):  
Meritxell Notari Llorens ◽  
Francisco Pardo Fabregat ◽  
Manuel Jordán Vidal
Keyword(s):  
Statistical Analysis ◽  
Environmental Education ◽  
Secondary School ◽  
Secondary School Students ◽  
Formal Education ◽  
Previous Knowledge ◽  
School Students ◽  
R Programming Language ◽  
The Mean ◽  
R Programming

ABSTRACTNowadays lacks in environmental education were detected even living in times of global change. In this research, the acquisition of knowledge related to environmental consciousness in secondary school students in northeast Spain is examined. A questionnaire for each secondary course was made with different kind of questions: specific of the course and of the previous knowledge. After a statistical analysis, with R programming language, a unilateral hypothesis contrast where the mean responses of the students answered correctly at the beginning and the end of the different courses of secondary education, were contrasted. After analysis, the results shows that the mean responses answered correctly at the end of the course is greater than the mean at the beginning of course in most cases studied, except two groups. The findings of this study indicate that the education of our students conclude with a meaningful learning as indicated but we should not neglect the non-formal education received by students in order to have people environmentally conscious.RESUMENActualmente se han detectado carencias en la educación ambiental aun estando viviendo momentos de cambio global. En el presente estudio de investigación, se examina la adquisición de los conocimientos relacionados con la concienciación ecológica en los alumnos de educación secundaria en el nordeste de España. Se realizó un cuestionario para cada curso con diferentes tipos de preguntas: específicas de curso y conocimientos previos. Tras un análisis estadístico, con el lenguaje y entorno de programación para análisis estadístico R, se realizó un contraste de medias unilateral donde se contrastó la media de respuestas respondidas correctamente de los alumnos de los diferentes cursos de educación secundaria, a final y a inicio de curso, de dicho cuestionario. Tras el análisis de los resultados se observa que la media de respuestas respondidas correctamente a final de curso es mayor que la media al inicio de curso en la mayoría de casos estudiados a excepción de dos grupos. Las conclusiones de este estudio indican que la educación que reciben nuestros alumnos concluye en un aprendizaje significativo tal y como se indica aunque no debemos descuidar la formación no formal que reciben los alumnos para así tener ciudadanos concienciados con el medio ambiente. Contacto principal: [email protected]

scholarly journals Verification of normal distribution of welding distortions

2019 ◽  
Vol 91 (3) ◽  
Author(s):  
Damian Grzesiak ◽  
Jarosław Plichta
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Normal Distribution ◽  
Sheet Metal ◽  
Welding Process ◽  
Experiment Planning ◽  
Geometrical Parameters ◽  
Butt Welds ◽  
Planning Methods ◽  
Smirnov Test

The aim of this paper is to answer the question of the distribution of welding distortions. The MIG method was used to make 31 butt welds of 0H18N9 sheet metal, of 6 mm thickness and dimensions 150x350 mm. All joints are made with constant parameters of the welding process. Statistical analysis of the distribution and Kolomogorov-Smirnov test were used in this paper. On the grounds of the analysis it was proved that the distribution of welding deformations is a normal distribution. This justifies the use of experiment planning methods and the use of average values. The relatively high value of the standard deviation makes it necessary to take into account the geometrical parameters of the joint.

scholarly journals Classification and Statistical Trend Analysis in Detecting Glaucomatous Visual Field Progression

2019 ◽  
Vol 2019 ◽  
pp. 1-5
Author(s):  
Cristiana Valente ◽  
Elisa D’Alessandro ◽  
Michele Iester
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Visual Field ◽  
Trend Analysis ◽  
Open Angle Glaucoma ◽  
Mean Deviation ◽  
Threshold Strategy ◽  
Visual Field Progression ◽  
The Mean

Aim. To evaluate the agreement between different methods in detection of glaucomatous visual field progression using two classification-based methods and four statistical approaches based on trend analysis. Methods. This is a retrospective and longitudinal study. Twenty Caucasian patients (mean age 73.8 ± 13.43 years) with open-angle glaucoma were recruited in the study. Each visual field was assessed by Humphrey Field Analyzer, program SITA standard 30-2 or 24-2 (Carl Zeiss Meditec, Inc., Dublin, CA). Full threshold strategy was also accepted for baseline tests. Progression was analyzed by using Hodapp–Parrish–Anderson classification and the Advanced Glaucoma Intervention Study visual field defect score. For the statistical analysis, linear regression (r2) was calculated for mean deviation (MD), pattern standard deviation (PSD), and visual field index (VFI), and when it was significant, each series of visual field was considered progressive. We also used Progressor to look for a significant progression of each visual field series. The agreement between methods, based on statistical analysis and classification, was evaluated using a weighted kappa statistic. Results. Thirty-eight visual field series were analyzed. The mean follow-up time was 6.2 ± 1.53 years (mean ± standard deviation). At baseline, the mean MD was −7.34 ± 7.18 dB; at the end of the follow-up, the mean MD was −9.25 ± 8.65 dB; this difference was statistically significant (p<0.001). The agreement to detect progression was fair between all methods based on statistical analysis and classification except for PSD r2. A substantial agreement (κ = 0.698 ± 0.126) was found between MD r2 and VFI r2. With the use of all the statistical analysis, there was a better time-saving. Conclusions. The best agreement to detect progression was found between MD r2 and VFI r2. VFI r2 showed the best agreement with all the other methods. GPA2 can help ophthalmologists to detect glaucoma progression and to help in treatment decisions. PSD r2 was the worse method to detect progression.

scholarly journals The Effect of Re-engineering of Administrative Processes in Achieving the Competitive Advantage of Sustainable in Five-Star Hotels in Jordan - Field Study

2019 ◽  
Vol 11 (1) ◽  
pp. 96
Author(s):  
Suleiman Mustafa EL-Dalahmeh
Keyword(s):  
Information Technology ◽  
Statistical Analysis ◽  
Standard Deviation ◽  
Competitive Advantage ◽  
Organizational Communication ◽  
Sustainable Competitive Advantage ◽  
Statistical Effect ◽  
The Mean ◽  
Level Of Significance ◽  
Very High

The main aim of the research was to identify the effect of Re-engineering of Administration Processes in Achieving the competitive Advantage of Sustainable in Five Star Hotels in Jordan. To achieve the objective of this study, a questionnaire distributed on 120 persons in Five Star Hotels in Jordan. 90 returned with a rate of 75%. The results of the study showed that there is a significant statistical effect at the level of significance of α ≤ 0.05 for the re - engineering of administrative processes in achieving sustainable competitive advantage in five - star hotels in Jordan in the following dimensions:* - Leadership * - Ability to analyze * - Advanced design * - Organizational communication * - Continuous improvementStrategic Planning. The total score of the mean of the study instrument was 4.43 and with a standard deviation of 0.35 and 88.6% at a very high degree.The results of the statistical analysis revealed the realization of the sample of the study in the investigated hotels, the extent of the effect of re-engineering the administrative processes in all its dimensions in achieving the competitive advantage.Based on the results of hypotheses tested, the six null hypotheses of the study were rejected. In the light of the findings, the researcher recommended that:1- The need to convince the management of hotels and hotel staff the importance of the application of re-engineering of administrative processes to achieve competitive advantage sustainable2- Utilizing the potential of graduates of new universities from the faculties of economics, administrative sciences and information technology. 

scholarly journals Terapi psikoreligi terhadap penurunan perilaku kekerasan pada pasien Skizofrenia di ruang rawat inap Rumah Sakit Jiwa Daerah Provinsi Lampung

2020 ◽  
Vol 13 (4) ◽  
pp. 373-380
Author(s):  
Teguh Pribadi ◽  
Djunizar Djamaludin
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Mental Hospital ◽  
Violent Behavior ◽  
Hospital Management ◽  
P Value ◽  
Spiritual Power ◽  
Research Instrument ◽  
Inpatient Ward ◽  
The Mean

Psycho-religious therapy in reducing violent behavior among   patients  with  SchizophreniaBackground: The main problem that often occurs to patients with schizophrenia is violent behavior. Violent behavior is a state in which a person performs a physically harmfulserve to himself or to another person. Psychoreligious therapy is a therapy that is usually through a religiousreligion approach such as client believed according their riligion   and tends to touch the spiritual side of man and also rather to awaken the spiritual power against of with illness. Data reported to Lampung Mental Hospital, the trend  number of violent behavior  was increasing and data in 2018 as many as 194 patients with violent behavior.Purpose: Knowing effectiveness of psycho-religious therapy in reducing violent behavior among patients with schizophrenia Lampung Mental Hospital 2019Methods: A quantitative and quasi experiment with two group pretest postest design. the population of this study were all patients with violent behavior in the inpatient ward of Lampung mental hospital as many as 30 patients. this research instrument used observation sheet. statistical analysis used t dependent tests.Result: Finding the mean score of violent behavior behavior before psychoreligious therapy were of 16.87 with a standard deviation of 1.46, and after psycho religious  therapy was 13.0 with a standard deviation of 1.0.Conclusion: There was an influence of psycho religious therapy in reducing violent behavior inpatients with schizophrenia (p value 0,000).Suggestion: The hospital management to apply psychoreligious therapy programs to patients with  schizophrenia specially patients has risk of violent behaviorKeywords: Psychoreligious Therapy; Violence Behavior; SchizophreniaPendahuluan: Permasalahan utama yang sering terjadi pada pasien Skizofrenia adalah perilaku kekerasan. Perilaku kekerasan adalah suatu keadaan dimana seseorang melakukan tindakan yang membahayakan secara fisik, baik kepada diri sendiri, maupun orang lain. Terapi psikoreligius adalah terapi yang biasanya melalui pendekatan  keagamaan yang dianut oleh klien dan cenderung untuk menyentuh sisi  spiritual manusia, untuk membangkitkan kekuatan spiritual dalam menghadapi penyakit yang dideritanya  Dari data yang diperoleh dari Rumah Sakit Jiwa Daerah Provinsi Lampung jumlah pasien dengan prilaku kekerasan  cenderung meningkat dan data di tahun 2018 sebanyak 194 pasien dengan perilaku kekerasan.Tujuan: Mengetahui pengaruh terapi psikoreligi terhadap penurunan perilaku kekerasan pada pasien skizopfrenia di ruang rawat inap  Rumah Sakit Jiwa Daerah  Provinsi Lampung Tahun 2019.Metode: Penelitian kuantitatif menggunakan Quasi Eksperiment dengan two group pretest postest. Populasi dan sampelnya seluruh pasien dengan perilaku kekerasan di Ruang Rawat Inap Rumah Sakit Jiwa Daerah Provinsi Lampung  sebanyak 30 pasien. Instrumen penelitian ini menggunakan lembar observasi. Analisastatistik yang digunakan yaitu uji t Dependen.Hasil: Didapatkan nilai rata-rata skor perilaku kekerasan Sebelum Terapi psikoreligi adalah 16,87 dengan standar deviasi 1,46, rata-rata Skor perilaku kekerasan sesudah Terapi psikoreligi adalah 13.0 dengan standar deviasi 1,0.Simpulan: Ada pengaruh terapi psikoreligi terhadap penurunan perilaku kekerasan pada pasien skizopfrenia di Ruang Rawat Inap  Rumah Sakit Jiwa Daerah  Provinsi Lampung Tahun 2019 (p value 0,000).Saran: Ditujukan kepada pihak manajemen rumah sakit agar menerapakan program terapi psikoreligius pada pasien schizophrenia dengan perilaku kekerasan.

scholarly journals AUTOMATIC FAULT RECOGNITION OF PHOTOVOLTAIC MODULES BASED ON STATISTICAL ANALYSIS OF UAV THERMOGRAPHY

2017 ◽  
Vol XLII-2/W6 ◽  
pp. 179-182 ◽  
Author(s):  
D. Kim ◽  
J. Youn ◽  
C. Kim
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Fault Detection ◽  
Thermal Infrared ◽  
Measured Temperature ◽  
Infrared Sensor ◽  
Mean Intensity ◽  
Detection Rule ◽  
The Mean ◽  
Local Detection

As a malfunctioning PV (Photovoltaic) cell has a higher temperature than adjacent normal cells, we can detect it easily with a thermal infrared sensor. However, it will be a time-consuming way to inspect large-scale PV power plants by a hand-held thermal infrared sensor. This paper presents an algorithm for automatically detecting defective PV panels using images captured with a thermal imaging camera from an UAV (unmanned aerial vehicle). The proposed algorithm uses statistical analysis of thermal intensity (surface temperature) characteristics of each PV module to verify the mean intensity and standard deviation of each panel as parameters for fault diagnosis. One of the characteristics of thermal infrared imaging is that the larger the distance between sensor and target, the lower the measured temperature of the object. Consequently, a global detection rule using the mean intensity of all panels in the fault detection algorithm is not applicable. Therefore, a local detection rule based on the mean intensity and standard deviation range was developed to detect defective PV modules from individual array automatically. The performance of the proposed algorithm was tested on three sample images; this verified a detection accuracy of defective panels of 97&amp;thinsp;% or higher. In addition, as the proposed algorithm can adjust the range of threshold values for judging malfunction at the array level, the local detection rule is considered better suited for highly sensitive fault detection compared to a global detection rule.

scholarly journals STATISTICAL ANALYSIS OF THE MARIANA TRENCH GEOMORPHOLOGY USING R PROGRAMMING LANGUAGE

2019 ◽  
Vol 45 (2) ◽  
pp. 57-84 ◽  
Author(s):  
Polina Lemenkova
Keyword(s):  
Statistical Analysis ◽  
Programming Language ◽  
Slope Angle ◽  
Geographic Location ◽  
Mariana Trench ◽  
Tectonic Plates ◽  
Factors Affecting ◽  
R Programming Language ◽  
R Programming ◽  
The Impact

This paper introduces an application of R programming language for geostatistical data processing with a case study of the Mariana Trench, Pacific Ocean. The formation of the Mariana Trench, the deepest among all hadal oceanic depth trenches, is caused by complex and diverse geomorphic factors affecting its development. Mariana Trench crosses four tectonic plates: Mariana, Caroline, Pacific and Philippine. The impact of the geographic location and geological factors on its geomorphology has been studied by methods of statistical analysis and data visualization using R libraries. The methodology includes following steps. Firstly, vector thematic data were processed in QGIS: tectonics, bathymetry, geomorphology and geology. Secondly, 25 cross-section profiles were drawn across the trench. The length of each profile is 1000-km. The attribute information has been derived from each profile and stored in a table containing coordinates, depths and thematic information. Finally, this table was processed by methods of the statistical analysis on R. The programming codes and graphical results are presented. The results include geospatial comparative analysis and estimated effects of the data distribution by tectonic plates: slope angle, igneous volcanic areas and depths. The innovativeness of this paper consists in a cross-disciplinary approach combining GIS, statistical analysis and R programming.

Statistical Analysis of Homogeneous Systems of Polar Coordinates

1975 ◽  
Vol 26 ◽  
pp. 469
Author(s):  
E. Proverbio ◽  
S. Uras
Keyword(s):  
Statistical Analysis ◽  
Standard Deviation ◽  
Polar Coordinates ◽  
Mean Values ◽  
Homogeneous Systems ◽  
The Mean

AbstractIn 1972, Proverbio and Quesada compiled a list of seven homogeneous systems of polar coordinates expressed in tenths of years adopted by different authors. In the paper, the authors try to determine the internal correlation of the different systems of coordinates so as to represent the precision of each series for different frequency ranges. The analysis of the standard deviation of the raw residuals of the differences between the coordinates of each series and the mean values from the smoothed curve of the residuals provided further information about the accuracy of the same series of polar coordinates.

SEA‐GRAVIMETER TRIALS ON THE HALIFAX TEST RANGE ABOARD CSS HUDSON, 1972

Geophysics ◽  
1976 ◽  
Vol 41 (4) ◽  
pp. 700-711 ◽  
Author(s):  
H. D. Valliant ◽  
J. Halpenny ◽  
R. Beach ◽  
R. V. Cooper
Keyword(s):  
Standard Deviation ◽  
Normal Distribution ◽  
Test Range ◽  
Simultaneous Test ◽  
The Mean ◽  
The Difference ◽  
Test Profiles ◽  
Gravity Test ◽  
Three Components

A simultaneous test of a LaCoste and Romberg and a Graf‐Askania sea gravimeter was made over the Halifax Gravity Test Range aboard CSS Hudson in 1972. The test consisted of a total of 33 traverses over precisely located and calibrated test profiles established for this purpose. If errors are defined as the difference between surface and underwater values compared on a common datum, the mean LaCoste gravimeter error observed during a traverse varied from run‐to‐run to form a near normal distribution with mean of 1.8 mgal and standard deviation of 1.0 mgal. The corresponding statistics for the Askania are 2.1 mgal and 3.4 mgal, respectively, with the distribution markedly skew. The data were correlated with three components of accelerations as measured by the LaCoste and Romberg inertial platform. No significant correlation was evident for the LaCoste meter. Some correlation for the Graf‐Askania data, to which crosscoupling corrections are not normally applied, was observed.

Variability Assessment of the Compressive and Tensile Strength of Fibred Earthen Composites

2022 ◽  
Author(s):  
Philippe Poullain ◽  
Mircea Barnaure ◽  
Stéphanie Bonnet
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Compressive Strength ◽  
Standard Deviation ◽  
Probability Density Function ◽  
Building Materials ◽  
Mean Value ◽  
Rammed Earth ◽  
The Mean ◽  
The Many

Earthen composites (rammed earth, cob, adobe, daub, CEB...) are experiencing renewed interest from builders due to the many advantages of these building materials, and in particular their eco-friendliness. Nevertheless, the widespreading of these materials, as certified materials and conforming to construction standards, comes against the lack of data concerning their mechanical properties. Indeed, the literature generally gives the average values of the properties without indicating the number of specimens tested neither the distribution of the data. Yet, the mean value of the compressive strength is not enough to assess the reliability of a given earthen composite to build a wall and it would be better to indicate the value of a defined percentile (characteristic value just like with concrete composites). The aim of this paper is to analyze the data about the mechanical properties (tensile and compressive strength) obtained on different formulations of cob including natural fibres or not. The tests performed allowed to determine the probability density function and the average values, the standard deviation and the percentiles, for the various properties.

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