scholarly journals Statistical group comparison of diffusion tensors via multivariate hypothesis testing

2007 ◽  
Vol 57 (6) ◽  
pp. 1065-1074 ◽  
Author(s):  
Brandon Whitcher ◽  
Jonathan J. Wisco ◽  
Nouchine Hadjikhani ◽  
David S. Tuch
Keyword(s):  
Hypothesis Testing ◽  
Group Comparison ◽  
Diffusion Tensors ◽  
Multivariate Hypothesis Testing

A Study of Curricular Preparation Needs for Sport Club Managers

1991 ◽  
Vol 5 (1) ◽  
pp. 47-57 ◽  
Author(s):  
Keith W. Lambrecht
Keyword(s):  
Factor Analysis ◽  
Hypothesis Testing ◽  
Analysis Of Variance ◽  
Program Planning ◽  
Group Comparison ◽  
Organizational Size ◽  
Sport Club ◽  
Variance Test ◽  
Group Iii ◽  
Group I

The focus of this study was to identify the curricular preparation needs for sport club managers and to determine if there are differences in the curricular preparation needs for sport club managers in regard to organizational size. A questionnaire comprised of 30 curricular need statements was mailed to 500 randomly selected sport club managers; 264 responded. There were 83 in Group I, 95 in Group II, and 86 in Group III. A one-way analysis of variance test was employed for hypothesis testing. Tukey’s ω method was utilized for group comparison of rejected hypotheses, and factor analysis was employed for clustering of the curricular preparation needs. Marketing was the top rated curricular need. Two curricular need statements rejected were “program planning for youths” and “research interpretation and utilization,” and five clusters were extracted from factor analysis. Based on the findings of this study, curricular preparation needs for sport club managers have been identified; however, there seems to be little difference in curricular preparation needs in regard to organizational size.

scholarly journals Group Comparison of Eigenvalues and Eigenvectors of Diffusion Tensors

2010 ◽  
Vol 105 (490) ◽  
pp. 588-599 ◽  
Author(s):  
Armin Schwartzman ◽  
Robert F. Dougherty ◽  
Jonathan E. Taylor
Keyword(s):  
Group Comparison ◽  
Eigenvalues And Eigenvectors ◽  
Diffusion Tensors

A multivariate hypothesis testing framework for tissue clustering and classification of DTI data

2009 ◽  
Vol 22 (7) ◽  
pp. 716-729 ◽  
Author(s):  
Raisa Z. Freidlin ◽  
Evren Özarslan ◽  
Yaniv Assaf ◽  
Michal E. Komlosh ◽  
Peter J. Basser
Keyword(s):  
Hypothesis Testing ◽  
Testing Framework ◽  
Clustering And Classification ◽  
Multivariate Hypothesis Testing

Measuring community shifts in a weed seedbank study with the use of distance-based redundancy analysis

Weed Science ◽  
2006 ◽  
Vol 54 (5) ◽  
pp. 861-866 ◽  
Author(s):  
Chris Reberg-Horton ◽  
Eric R. Gallandt ◽  
Tom Molloy
Keyword(s):  
Hypothesis Testing ◽  
Pest Management ◽  
Redundancy Analysis ◽  
Soil Amendments ◽  
Soil Management ◽  
Data Interpretation ◽  
Management Systems ◽  
Long Term Study ◽  
Entry Points ◽  
Multivariate Hypothesis Testing

Distance-based redundancy analysis (db-RDA), a recently developed ordination technique useful for both multivariate hypothesis testing and data interpretation, was used to evaluate treatment effects on weed communities in a long-term study of alternative potato cropping systems. The experiment consisted of a factorial arrangement of three pest management systems, conventional (CON), reduced input (RI), and biointensive (BIO), two soil management systems (amended vs. unamended), and two crop-rotation entry points. Soil samples collected in the spring of 1998 were subjected to exhaustive germination as a means of characterizing the weed community. Using partial ordinations, each factor in the factorial treatment structure was tested separately, revealing a significant interaction between pest and soil management systems. An ordination diagram of the pest by soil management interaction was used to interpret the results. Weed species that were highly correlated with the first two ordination axes included: common lambsquarters, broadleaf plantain, oakleaf goosefoot, common hempnettle and a complex of the Brassicaceae that included wild mustard, birdsrape mustard, and wild radish. Univariate analyses confirmed the response of these species to the factors examined. The BIO pest management system showed a different response to soil amendments than the other systems. Soil amendments caused an increase in the total weed density in the CON and RI systems, but caused a decrease in the BIO system. Given the need for better multivariate hypothesis testing and data interpretation in many types of weed science research, the use of db-RDA is expected to grow.

scholarly journals PENGARUH MODEL PEMBELAJARAN PROBING-PROMPTING TERHADAP HASIL BELAJAR SISWA

2019 ◽  
Vol 6 (2) ◽  
pp. 96
Author(s):  
Eka Purnamansari ◽  
M Yunan H.S.
Keyword(s):  
Middle School ◽  
Hypothesis Testing ◽  
Student Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Learning Model ◽  
T Test ◽  
Group Comparison ◽  
Public Middle School ◽  
Static Group

Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh yang positif dan signifikan Model Pembelajaran Probing-Prompting Terhadap Hasil Belajar Siswa. Metode penelitian ini menggunakan penelitian kuantitatif dengan pendekatan eksperimen dalam bentuk Pre Eksperimen dengan Desain Static Group Comparison, desain ini menggunakan dua kelas, dengan jumlah 64 siswa. Metode analisis data menggunakan Homogenitas data dengan menggunakan Uji F, Normalitas Data dengan menggunakan rumus Chi kuadrat, dan Uji hipotesis dengan menggunakan rumus t-test. Hasil penelitian menunukkan bahwa perhitungan uji hipotesis dengan menggunkan rumus uji-tes, maka diperoleh thitung sebesar 6,037 sedangkan nilai ttabel pada taraf signifikan 5% dengan dk =+ - 2 = 32 + 32 – 2 = 62 diperoleh harga   sebesar 1,669. Jadi dari hasil perhitungan dapat disimpulkan  . Hasil pengujian, maka dapat dikatakan hipotesis (Ha) diterima. Ini berarti bahwa “Terdapat pengaruh model pembelajaran probing-prompting terhadap hasil belajar PPKn kelas VII SMP Negeri 1 Sape”. Sesuai dengan hasil penelitian yang dilakukan terdapat pengaruh yang signifikan  model pembelajaran probing-ptompting terhadap hasil belajar PPKn kelas  VII diperoleh 94,3% pengaruh hasil belajar siswa setelah diterapkannya model pembelajaran probing-prompting di kelas VII SMP Negeri 1 Sape dan sisanya 5,7% dipengaruhi oleh variabel lain. This study aims to determine whether there is a positive and significant effect of the Probing-Prompting Learning Model on Student Learning Outcomes. This research method uses quantitative research with an experimental approach in the form of Pre Experiments with Static Group Comparison Design, this design uses two classes, with a total of 64 students. The method of data analysis uses Homogeneity of data using the F Test, Data Normality by using the Chi square formula, and Hypothesis testing using the t-test formula. The results showed that the calculation of hypothesis testing by using the test formulas, then obtained tcount of 6.037 while the ttable value at the significance level of 5% with dk = + - 2 = 32 + 32 - 2 = 62 obtained a price of 1.669. So the results of the calculations can be concluded. The test results, it can be said the hypothesis (Ha) is accepted. This means that "There is the influence of the probing-prompting learning model on the learning outcomes of PPKn class VII of Sape 1 Public Middle School". In accordance with the results of the study, there was a significant effect of probing-ptompting learning model on learning outcomes of class VII PPKn obtained 94.3% of the influence of student learning outcomes after the implementation of probing-prompting learning models in class VII of Sape 1 Public Middle School and the remaining 5.7% influenced by other variables.

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