Null Hypothesis Statistical Testing and the t-Test

Smalheiser, Neil R.

doi:10.1016/b978-0-12-811306-6.00009-9

Cited by 2 publications

(3 citation statements)

References 2 publications

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“…The application of the integrated modeling system in the Almyros basin proves that the modeling system is able to reproduce, in a holistic way [18][19][20]32], the observed water quantity and quality variables of the groundwater resources in the study area. Notably, in all t-tests [81], the slope and the intercept do not differ significantly from the hypothetical line of absolute agreement (at α = 0.05 significance level). The scores of all statistical measures of modeling efficiency are characterized by an excellent fit of the simulation parameters against the observed measurements [ [78][79][80] and validate the calibrated parameter values of the hydrological and the crop variables.…”

Section: Discussionmentioning

confidence: 74%

“…Moreover, scatterplots were used to compare the modelled and observed values of the variables. The slope and intercept of the regression lines were statistically tested against the slope and intercept of the line of the perfect agreement (1:1 line) were tested using the t-test at the 5% significance level (α = 0.05) [81].…”

Section: Statistical and Graphical Evaluation Of The Modelsmentioning

confidence: 99%

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An Integrated Modeling System for the Evaluation of Water Resources in Coastal Agricultural Watersheds: Application in Almyros Basin, Thessaly, Greece

Lyra

Λουκάς

Sidiropoulos

et al. 2021

Water

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This study presents an integrated modeling system for the evaluation of the quantity and quality of water resources of coastal agricultural watersheds. The modeling system consists of coupled and interrelated models, including (i) a surface hydrology model (UTHBAL), (ii) a groundwater hydrology model (MODFLOW), (iii) a crop growth/nitrate leaching model (REPIC, an R-ArcGIS-based EPIC model), (iv) a groundwater contaminant transport model (MT3DMS), and (v) a groundwater seawater intrusion model (SEAWAT). The efficacy of the modeling system to simulate the quantity and quality of water resources has been applied to the Almyros basin in Thessaly, Greece. It is a coastal agricultural basin with irrigated and intensified agriculture facing serious groundwater problems, such as groundwater depletion, nitrate pollution, and seawater intrusion. Irrigation demands were estimated for the main crops cultivated in the area, based on precipitation and temperature from regional weather stations. The models have been calibrated and validated against time-series of observed crop yields, groundwater table observations, and observed concentrations of nitrates and chlorides. The results indicate that the modeling system simulates the water resources quantity and quality with increased accuracy. The proposed modeling system could be used as a tool for the simulation of water resources management and climate change scenarios.

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Section: Discussionmentioning

confidence: 74%

Section: Statistical and Graphical Evaluation Of The Modelsmentioning

confidence: 99%

An Integrated Modeling System for the Evaluation of Water Resources in Coastal Agricultural Watersheds: Application in Almyros Basin, Thessaly, Greece

Lyra

Λουκάς

Sidiropoulos

et al. 2021

Water

View full text Add to dashboard Cite

show abstract

“…To discover further insights, t-tests must be performed between variables to discover what variables are statistically different. A t-test compares the means between two variables to discover if there is a statistically significant difference (Smalheiser, 2017a). To check the previous relationships found in the exploratory factor analysis, three ANOVAs were performed on the observations.…”

Section: Analysis Of Variance: Anovamentioning

confidence: 99%

Gathering Researchers' Requirements to Develop a Learning Technologies Dashboard

Mena¹,

Isaías²

2019

12th IADIS International Conference Information Systems 2019

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The learning technologies area has expanded incredibly fast due to the growing and acceptance of technology in the classrooms. As a result, the data produced by students is vast and is growing in each of the learning technologies used, leading to a possibility of discovering patterns that can help to enhance the student experience. However, a clear research regarding the adoption of learning technologies and how to spread this research is limited and almost inexistent. Most of the research revolves around students or teachers disregarding the researcher's standpoint. All the tools and artefacts such as dashboards that have helped to improve both students and teachers' knowledge are absent for researchers. Hence, this paper is aimed on finding and defining the most common learning technologies platforms and tools as well as the user requirements to build a dashboard to display this information considering the researchers' objectives. In this regard, an online survey was created and sent to both researchers interested in the learning technology area and learning technologies designers. The responses were analysed with quantitative tools such as exploratory factor analysis, analysis of variance, t-tests and graphical means. The results led to the user requirements for developing a dashboard.

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Null Hypothesis Statistical Testing and the t-Test

Cited by 2 publications

References 2 publications

An Integrated Modeling System for the Evaluation of Water Resources in Coastal Agricultural Watersheds: Application in Almyros Basin, Thessaly, Greece

An Integrated Modeling System for the Evaluation of Water Resources in Coastal Agricultural Watersheds: Application in Almyros Basin, Thessaly, Greece

Gathering Researchers' Requirements to Develop a Learning Technologies Dashboard

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