Decision qualities of Bayes factor and p value-based hypothesis testing.

2017 ◽  
Vol 22 (2) ◽  
pp. 340-360 ◽  
Author(s):  
Minjeong Jeon ◽  
Paul De Boeck
Keyword(s):  
Hypothesis Testing ◽  
Bayes Factor ◽  
P Value

scholarly journals Beyond P values and Hypothesis Testing: Using the Minimum Bayes Factor to Teach Statistical Inference in Undergraduate Introductory Statistics Courses

2017 ◽  
Vol 6 (4) ◽  
pp. 254 ◽  
Author(s):  
Robert Page ◽  
Eiki Satake
Keyword(s):  
Hypothesis Testing ◽  
Bayesian Approach ◽  
Bayesian Methods ◽  
Bayes Factor ◽  
Statistics Education ◽  
Introductory Statistics ◽  
P Value ◽  
Test Results ◽  
Statistics Course ◽  
The Bayesian Approach

While interest in Bayesian statistics has been growing in statistics education, the treatment of the topic is still inadequate in both textbooks and the classroom. Because so many fields of study lead to careers that involve a decision-making process requiring an understanding of Bayesian methods, it is becoming increasingly clear that Bayesian methods should be included in classes that cover the P value and Hypothesis Testing. We discuss several fallacies associated with the P value and Hypothesis Testing, including why Fisher’s P value and Neyman-Pearson’s Hypothesis Tests are incompatible with each other and cannot be combined to answer the question “What is the probability of the truth of one’s belief based on the evidence?” We go on to explain how the Minimum Bayes Factor can be used as an alternative to frequentist methods, and why the Bayesian approach results in more accurate, credible, and relevant test results when measuring the strength of the evidence. We conclude that educators must realize the importance of teaching the correct interpretation of Fisher’s P value and its alternative, the Bayesian approach, to students in an introductory statistics course.

scholarly journals PENGARUH KUALITAS PELAYANAN TERHADAP MINAT BELI PADA MASA PANDEMIK COVID-19 DI KANTIN YUANK KOTA BIMA

2021 ◽  
Vol 3 (2) ◽  
pp. 204
Author(s):  
Winda Winda ◽  
Firmansyah Kusumayadi
Keyword(s):  
Quality Of Service ◽  
Service Quality ◽  
Hypothesis Testing ◽  
Product Quality ◽  
Purchase Intention ◽  
Quantitative Methods ◽  
T Test ◽  
Primary Data ◽  
P Value

Quality of service is one of the main activities carried out by Kantin Yuank in its efforts to develop and earn a profit. Therefore, this study aims to determine the effect of service quality on visitor buying interest during the Covid 19 pandemic at the Yuank Canteen in Bima City. The research method uses quantitative methods with primary data sources. The sample in this study was 96 respondents using non-probability sampling method with accidental sampling technique. The research was conducted by distributing questionnaires. Data analysis in this study includes: validity and reliability tests, simple linear regression, correlation coefficient, determination coefficient (R2) and hypothesis testing through t test. Hypothesis testing using the t test shows that the independent variable quality of service studied is proven to significantly affect the dependent variable consumer purchase interest with a p value of 0.000 less than 0.05 (0.000 <0.05). The Adjusted R Square is 0.251. This means that 25.1% of buying interest is influenced by service quality and the remaining 74.9% is caused by other factors not included in this study such as product quality, price, place and others. The results showed that service quality influenced purchase intention. Thus, by maintaining and improving product quality and service quality at the Yuank Canteen in Bima City, a positive visitor attitude will be formed which will affect the buying interest of visitors at the Yuank Canteen in Bima City.

scholarly journals Bayesian Inference and Testing Any Hypothesis You Can Specify

2018 ◽  
Vol 1 (2) ◽  
pp. 281-295 ◽  
Author(s):  
Alexander Etz ◽  
Julia M. Haaf ◽  
Jeffrey N. Rouder ◽  
Joachim Vandekerckhove
Keyword(s):  
Bayesian Inference ◽  
Model Selection ◽  
Hypothesis Testing ◽  
Likelihood Ratio ◽  
Special Form ◽  
Null Hypothesis ◽  
Bayes Factor ◽  
Alternative Hypotheses ◽  
Competing Models

Hypothesis testing is a special form of model selection. Once a pair of competing models is fully defined, their definition immediately leads to a measure of how strongly each model supports the data. The ratio of their support is often called the likelihood ratio or the Bayes factor. Critical in the model-selection endeavor is the specification of the models. In the case of hypothesis testing, it is of the greatest importance that the researcher specify exactly what is meant by a “null” hypothesis as well as the alternative to which it is contrasted, and that these are suitable instantiations of theoretical positions. Here, we provide an overview of different instantiations of null and alternative hypotheses that can be useful in practice, but in all cases the inferential procedure is based on the same underlying method of likelihood comparison. An associated app can be found at https://osf.io/mvp53/ . This article is the work of the authors and is reformatted from the original, which was published under a CC-By Attribution 4.0 International license and is available at https://psyarxiv.com/wmf3r/ .

scholarly journals Improving the Teaching of Hypothesis Testing Using a Divide-and-Conquer Strategy and Content Exposure Control in a Gamified Environment

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2244
Author(s):  
David Delgado-Gómez ◽  
Franks González-Landero ◽  
Carlos Montes-Botella ◽  
Aaron Sujar ◽  
Sofia Bayona ◽  
...  
Keyword(s):  
Hypothesis Testing ◽  
Divide And Conquer ◽  
P Value ◽  
First Year ◽  
Learning Tools ◽  
First Year Students ◽  
Engineering Degree ◽  
High Satisfaction ◽  
Statistics Course ◽  
Traditional Class

Hypothesis testing has been pointed out as one of the statistical topics in which students present more misconceptions. In this article, an approach based on the divide-and-conquer methodology is proposed to facilitate its learning. The proposed strategy is designed to sequentially explain and evaluate the different concepts involved in hypothesis testing, ensuring that a new concept is not presented until the previous one has been fully assimilated. The proposed approach, which contains several gamification elements (i.e., points or a leader-board), is implemented into an application via a modern game engine. The usefulness of the proposed approach was assessed in an experiment in which 89 first-year students enrolled in the Statistics course within the Industrial Engineering degree participated. Based on the results of a test aimed at evaluating the acquired knowledge, it was observed that students who used the developed application based on the proposed approach obtained statistically significant higher scores than those that attended a traditional class (p-value < 0.001), regardless of whether they used the learning tool before or after the traditional class. In addition, the responses provided by the students who participated in the study to a test of satisfaction showed their high satisfaction with the application and their interest in the promotion of these tools. However, despite the good results, they also considered that these learning tools should be considered as a complement to the master class rather than a replacement.

scholarly journals Isotherm, Thermodynamic, and Kinetics Studies of Iodide Adsorption on The Al_SBA-16 Mesoporous Nanomaterial as Radiopharmaceutical Vehicle Candidate

2020 ◽  
Vol 21 (1) ◽  
pp. 27
Author(s):  
Maria Christina Prihatiningsih ◽  
Sri Sundari Retnoasih ◽  
Athanasia Elra Andjioe ◽  
Noor Anis Kundari ◽  
Edy Giri Rachman Putra
Keyword(s):  
Activation Energy ◽  
Hypothesis Testing ◽  
Research Work ◽  
P Value ◽  
Testing Time ◽  
Order Model ◽  
First Order ◽  
Pseudo First Order ◽  
In Vitro Stability

In order to investigate the potential of Al_SBA-16 Mesoporous Nanomaterial as a candidate for radiopharmaceutical vehicles, the studies of kinetics, thermodynamic, and in vitro stability of Iodide adsorption onto the nanomaterial have been carried out. The adsorption study was conducted at different temperature, time, and iodide concentration and observed with spectrophotometric techniques. The isotherm adsorption was fitted with Langmuir and Freundlich model and the thermodynamic parameters were determined at temperatures of 293K, 301K, 308K, and 313K. Moreover, the adsorption kinetics was analyzed in terms of pseudo first order model for Al_SBA-16 Mesoporous Nanomaterial and Iodide and pseudo second order in overall reaction. The activation energy was determined by using Arrhenius equation, meanwhile, the in vitro stability testing was conducted in phosphate buffer saline at pH variation for 5.5 to 7.0, and at temperature variation for 20C to 45C and at testing time variation for 6 to 48 hours. The result indicate that the adsorption obeys the Langmuir isotherm model and has a tendency to be chemical adsorption with a value of H was -116.641 kJ/mol and the nature of spontaneous reactions. The adsorption process followed the pseudo-first-order model and the apparent activation energy was 41.26 kJ/mol. In the present research work, the in vitro stability data were evaluated using P-Value and the theory of Hypothesis Testing or Fisher's significance test. The result of hypothesis testing show that, the adsorption of iodide onto Al_SBA-16 Mesoporous Nanomaterial were highly stable under the experimental conditions adopted.

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