Evaluation of the Performance of Statistical Tests Used in Making Cleanup Decisions at Superfund Sites. Part 1: Choosing an Appropriate Statistical Test

2009 ◽  
pp. 99-99-16
Author(s):  
DW Berman ◽  
BC Allen ◽  
CB Van Landingham
Keyword(s):  
Statistical Tests ◽  
Statistical Test ◽  
Superfund Sites

scholarly journals ANALISIS TINGKAT KESESUAIAN DARI KLASIFIKASI KEPADATAN LALU LINTAS DAN WAKTU TEMPUH GOOGLE MAPS

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Laksita Amelia Paramesti ◽  
Dedi Atunggal
Keyword(s):  
Travel Time ◽  
Statistical Tests ◽  
Statistical Test ◽  
Traffic Information ◽  
Actual Condition ◽  
Traffic Density ◽  
Traffic Classification ◽  
Google Maps ◽  
Traffic Condition ◽  
Significant Difference

 Traffic congestion is one of problem that occur in big cities, therefore people need traffic information to determine traffic condition. One of many applications that provides traffic information is Google Maps. From the information generated, there are insuitability between google maps’s traffic update and travel time with the actual condition. So the aim of this study is to analyze the suitability level of traffic density classification and google maps travel time. Based on the speed range by Google, the level of suitability can be determined, while the google maps travel time is done by statistical tests. The statistical test used is a statistical test of two parameters using table t with 95% confidence level. The results of this study indicate that the level of suitability of the traffic classification only reaches 35%. The low level of suitability is caused by network latency. While information on google maps travel time does not have a significant difference in actual time.

Dynamical Analysis of Time Series by Statistical Tests

1997 ◽  
Vol 07 (12) ◽  
pp. 2629-2652 ◽  
Author(s):  
Gustavo Deco ◽  
Christian Schittenkopf ◽  
Bernd Schürmann
Keyword(s):  
Time Series ◽  
Information Flow ◽  
Statistical Tests ◽  
Statistical Test ◽  
Dynamical Analysis ◽  
Fourier Space ◽  
Statistical Framework ◽  
Temporal Structures ◽  
Analysis Of Time Series

In this review we deal with the application of statistical test techniques for the extraction of structures in time series. Two kinds of questions are answered in this statistical framework: Are there any temporal dependences in the data? and Which kind of dynamics generate these temporal dependences? The first question is known as the problem of predictability and also considers the aspect of stationarity. The second question is deeper in the sense that it deals with the dynamical characterization of the detected temporal structures. Central to our approach is a cumulant-based measure of statistical dependences in Fourier space. The dynamical aspects are studied by means of the information flow. The theory is illustrated by artificial and real-world, stochastic and chaotic examples.

scholarly journals PENGARUH NON PERFORMING FINANCING DAN PERSENTASE BAGI HASIL TERHADAP PEMBIAYAAN MUSYARAKAH PADA PT BANK SYARIAH MANDIRI

2019 ◽  
Vol 1 (1) ◽  
pp. 77-88
Author(s):  
Nora Ulfa ◽  
Ismaulina Ismaulina ◽  
Fathul Liza
Keyword(s):  
Significant Influence ◽  
Statistical Tests ◽  
Research Question ◽  
Profit Sharing ◽  
Positive Influence ◽  
Statistical Test ◽  
Financial Statement ◽  
Islamic Banking ◽  
Test Results ◽  
Production Sharing

Non Performing Financing (NPF) and Percentage of Profit Sharing (PBH) indirectly influence the distribution of Musyarakah financing to Islamic banking. NPF occurs because the customer is unable to pay installments from the musyarakah financing that he has received, the inability of the customer to pay monthly installments is due to the percentage of profit sharing that is too high. The phenomenon that has been happening to PT Bank Syariah Mandiri, namely the distribution of funding did not increase significantly due to an increase in NPF. Based on these thoughts, in this study a research question was taken to find out what factors would influence the distribution of funding to PT Bank Syariah Mandiri. Based on this phenomenon, the distribution of Musyarakah Financing to PT Bank Syariah Mandiri can be seen from the percentage of revenue sharing that has increased significantly, while the NPF and Financing have an interrelated relationship. It can be seen from the Financing data from 2012 to 2014 that the increase in financing was very small due to the increasing value of the NPF. The research method used is a quantitative method in which financial statement data taken through the official website www.syariah.mandiri.co.id will be processed through SPSS data. The results of the study are: The development of NPF of Syariah Mandiri Bank during 2012-2014 has fluctuated, where the percentage of NPF sometimes goes up and sometimes goes down, the results of statistical tests show Non Performing Financing (NPF) has a positive and significant influence on the distribution of Musyarakah Financing to Bank Syariah Mandiri. Because the significance value is smaller than 0.05. This indicates an increase and decrease in the amount of Musyarakah financing disbursed is strongly influenced by the NPF. The development of Bank Syariah Mandiri's Production Sharing Percentage (PBH) during 2012-2014 sometimes increased and sometimes decreased, the statistical test results showed that the Production Sharing Percentage (PBH) had a positive influence and had a significant influence on the distribution of Musyarakah Financing to Bank Syariah Mandiri. Because the significance value is smaller than 0.05. Keyword : Non Performing Financing,  Share of Percentage, Musyarakah Financing.   Abstrak Non Performing Financing (NPF) dan Persentase Bagi Hasil (PBH) secara tidak langsung mempengaruhi distribusi pembiayaan Musyarakah ke perbankan syariah. NPF terjadi karena pelanggan tidak mampu membayar cicilan dari pembiayaan musyarakah yang telah ia terima, ketidakmampuan pelanggan untuk membayar cicilan bulanan disebabkan oleh persentase pembagian keuntungan yang terlalu tinggi. Fenomena yang telah terjadi pada PT Bank Syariah Mandiri, yaitu penyaluran dana tidak meningkat secara signifikan karena adanya peningkatan NPF. Berdasarkan pemikiran ini, dalam penelitian ini pertanyaan penelitian diambil untuk mengetahui faktor-faktor apa yang akan mempengaruhi distribusi dana ke PT Bank Syariah Mandiri. Berdasarkan fenomena ini, distribusi Pembiayaan Musyarakah ke PT Bank Syariah Mandiri dapat dilihat dari persentase bagi hasil yang meningkat secara signifikan, sedangkan NPF dan Pembiayaan memiliki hubungan yang saling terkait. Dapat dilihat dari data Pembiayaan 2012-2014 bahwa peningkatan pembiayaan sangat kecil karena meningkatnya nilai NPF. Metode penelitian yang digunakan adalah metode kuantitatif dimana data laporan keuangan yang diambil melalui situs resmi www.syariah.mandiri.co.id akan diproses melalui data SPSS. Hasil dari penelitian ini adalah: Perkembangan NPF Bank Syariah Mandiri selama 2012-2014 mengalami fluktuasi, dimana persentase NPF terkadang naik dan terkadang turun, hasil uji statistik menunjukkan Non Performing Financing (NPF) memiliki hasil positif. dan pengaruh yang signifikan terhadap distribusi Pembiayaan Musyarakah ke Bank Syariah Mandiri. Karena nilai signifikansi lebih kecil dari 0,05. Ini menunjukkan peningkatan dan penurunan jumlah pembiayaan Musyarakah yang disalurkan sangat dipengaruhi oleh NPF. Perkembangan Persentase Bagi Hasil (PBH) Bank Syariah Mandiri selama 2012-2014 terkadang meningkat dan terkadang menurun, hasil uji statistik menunjukkan bahwa Persentase Bagi Hasil (PBH) berpengaruh positif dan berpengaruh signifikan terhadap penyaluran Pembiayaan Musyarakah. ke Bank Syariah Mandiri. Karena nilai signifikansi lebih kecil dari 0,05. Kata kunci: Non Performing Financing, Persentase Bagi Hasil, Pembiayaan Musharakah.

scholarly journals Studi Pemisahan Aliran Dasar Metode Local Minimum Method Daerah Aliran Sungai Miu

2021 ◽  
pp. 143-148
Author(s):  
S.R. Oktavia ◽  
O.A. Mantika ◽  
Rugaiyah Rugaiyah
Keyword(s):  
Local Minimum ◽  
River Flow ◽  
Statistical Tests ◽  
Flood Management ◽  
Statistical Test ◽  
Base Flow ◽  
Discharge Data ◽  
Permeability Characteristics ◽  
Measurement Results ◽  
Office Software

The two main elements of a river flow hydrograph are direct runoff and baseflow. Base flow is a flow that comes from groundwater and it is available during the rainy and dry seasons. Information of baseflow value of a watershed has an important meaning in efforts to develop and manage water resources, including the provision of clean water, irrigation systems, flood management and others. Miu watershed located in Sigi Regency often experiences natural disasters such as floods and droughts that occur almost every year, which is the research location with an area of 65,452.01 Ha. This study aims to determine the value of baseflow using the Local Minimum Method and to find out whether this method can be used for baseflow modeling in research watersheds. This study was conducted using Hydro Office software with input data in the form of daily discharge data from 2004 to 2013. The average baseflow value obtained was 5.43 m3/s. The process of calibrating the baseflow value by taking flow data in the dry season where there is no rainfall input. It is obtained that BFI have value an average of 0.89. This value indicates that the Miu watershed has high storage permeability characteristics, The Miu watershed has quite stable flow during dry periods, because the greater the BFI value, the better the water supply in a watershed. In the statistical test, the observed discharge is the discharge data from the measurement results for the period 2004-2013, while the calculated discharge is the result of the estimated base flow value obtained using the graphical method. From the results of the statistical test of RMSE and R2, the RMSE value was 0.147 and the R2 value was 0.751. Both statistical tests show that the local minimum method has a fairly good performance in modeling the base flow in the Miu watershed.

scholarly journals COMBINED NONPARAMETRIC CHI-SQUARED AND BINOMIAL STATISTICAL TEST ON TRUCK TRAFFIC VOLUME CHANGES IN CANADIAN PROVINCIAL HIGHWAY NETWORK

Transport ◽  
2019 ◽  
Vol 34 (1) ◽  
pp. 103-114 ◽  
Author(s):  
Hyuk-Jae Roh ◽  
Satish Sharma
Keyword(s):  
Statistical Tests ◽  
Weather Conditions ◽  
Statistical Test ◽  
Truck Traffic ◽  
Long Distance ◽  
Type Distribution ◽  
Weigh In Motion ◽  
Highway Network ◽  
Chi Squared ◽  
Nonparametric Statistical

This paper examines the effect of weather conditions on truck type distribution using combined nonparametric chi-squared and binomial probability statistical tests. Influence of the winter conditions on truck type distribution is investigated in this paper by classifying trucks into single-unit trucks, single-trailer, and multi-trailer units. The investigation is based on 5 years Weigh-In-Motion (WIM) traffic data collected from Alberta provincial highway network in Canada. The WIM data is collected from six WIM sites located on Highway 2, Highway 2A, Highway 3, Highway 16 and Highway 44. The objective of this study is to investigate the association of three truck type distribution with month and season depending on weather conditions by means of nonparametric statistical test. The statistical results indicate that the variation of truck type distribution is influenced by type of highway facility, such as regional commuter roads and rural long distance highways. The season of the year (winter and non-winter) may also affect the truck type distribution on some types of roads. Findings of this study can benefit highway agencies in developing programs and policies related to efficient monitoring of truck traffic and maintaining highway network throughout the year.

scholarly journals Common mistakes in data presentation and statistical analysis: how can the BioStat Decision Tool help?

2013 ◽  
Author(s):  
Siouxsie Wiles ◽  
Anne L Bishop
Keyword(s):  
Scientific Literature ◽  
Statistical Tests ◽  
Statistical Test ◽  
Statistical Techniques ◽  
Sample Collection ◽  
Decision Tool ◽  
Data Presentation ◽  
Journal Editors ◽  
Molecular Microbiology ◽  
User Friendly

As medical and molecular microbiologists who regularly read the scientific literature, it is our impression that many published papers contain data that is inappropriately presented and/or analysed. This is borne out by a number of studies which indicate that typically at least half of published scientific articles that use statistical methods contain statistical errors. While there are an abundance of resources dedicated to explaining statistics to biologists, the evidence would suggest that they are largely ineffective. These resources tend to focus on how particular statistical tests work, with reams of complicated-looking mathematical formulae. In addition, many statisticians are unfamiliar with the application of statistical techniques to molecular microbiology, instead telling us we need more samples, which can be difficult both ethically and practically in fields that include animal work and painstaking sample collection. In an age where performing a statistical test merely requires clicking a button in a computer programme, it could be argued that what the vast majority of biologists need is not mathematical formulae but simple guidance on which buttons to click. We have developed an easy to follow decision chart that guides biologists through the statistical maze. Our practical and user friendly chart should prove useful not only to active researchers, but also to journal editors and reviewers to rapidly determine if data presented in a submitted manuscript has been correctly analysed.

scholarly journals EFEKTIVITAS MEDIA E-LEARNING BERBASIS EDMODO TERHADAP HASIL BELAJAR SISWA KELAS V SDN 02 NGABUL JEPARA

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Nabila Nur Zahara ◽  
Murtono Murtono ◽  
Ika Ari Pratiwi
Keyword(s):  
Learning Outcomes ◽  
Statistical Tests ◽  
Statistical Test ◽  
Experimental Designs ◽  
Fifth Grade ◽  
Fifth Grade Students ◽  
E Learning ◽  
Language Content ◽  
Academic Year

This study aims to analyze the effectiveness of Edmodo-based E-Learning media on the learning outcomes of fifth grade students on the theme of 6 Heat and the Transfer of Indonesian Language and PPKn SDN 02 Ngabul Jepara in the academic year 2020/2021. This research uses pre-experimental designs with one-group pretest-posttest design. The use of Edmodo-based E-Learning media on the learning outcomes of fifth grade students on the theme of 6 Heat and Transfers of Indonesian and PPKn content shows that in the pretest results on Indonesian language content there are 20 students declared complete while on PPKn content 25 students are declared complete and on the posttest results In the Indonesian language content, 34 students were declared complete while in the PPKn content there were 35 declared complete. The statistical test showed that there was the effectiveness of Edmodo-based E-Learning media on the learning outcomes of the theme of 6 Heat and Its Transfer in Indonesian content, the t count was -8.241 and the sig (2-tailed) value was 0.000 0.05 and PPKn was obtained. the result of t count is -9.031 and the sig value (2-tailed) is 0.000 0.05. Based on the results of these statistical tests, it can be concluded that the use of Edmodo-based E-Learning media is effective in using the learning outcomes of fifth grade students on the theme of 6 Heat and the Transfer of Indonesian Language and PPKn content.

scholarly journals Modeling epistasis in mice and yeast using the proportion of two or more distinct genetic backgrounds: evidence for “polygenic epistasis”

2019 ◽  
Author(s):  
Christoph D. Rau ◽  
Natalia M. Gonzales ◽  
Joshua S. Bloom ◽  
Danny Park ◽  
Julien Ayroles ◽  
...  
Keyword(s):  
Gene Expression ◽  
Complex Traits ◽  
Statistical Tests ◽  
Inbred Mice ◽  
Statistical Test ◽  
Genetic Ancestry ◽  
Human Populations ◽  
Epistatic Interactions ◽  
Variable Effect ◽  
The Impact

AbstractBackgroundThe majority of quantitative genetic models used to map complex traits assume that alleles have similar effects across all individuals. Significant evidence suggests, however, that epistatic interactions modulate the impact of many alleles. Nevertheless, identifying epistatic interactions remains computationally and statistically challenging. In this work, we address some of these challenges by developing a statistical test for polygenic epistasis that determines whether the effect of an allele is altered by the global genetic ancestry proportion from distinct progenitors.ResultsWe applied our method to data from mice and yeast. For the mice, we observed 49 significant genotype-by-ancestry interaction associations across 14 phenotypes as well as over 1,400 Bonferroni-corrected genotype-by-ancestry interaction associations for mouse gene expression data. For the yeast, we observed 92 significant genotype-by-ancestry interactions across 38 phenotypes. Given this evidence of epistasis, we test for and observe evidence of rapid selection pressure on ancestry specific polymorphisms within one of the cohorts, consistent with epistatic selection.ConclusionsUnlike our prior work in human populations, we observe widespread evidence of ancestry-modified SNP effects, perhaps reflecting the greater divergence present in crosses using mice and yeast.Author SummaryMany statistical tests which link genetic markers in the genome to differences in traits rely on the assumption that the same polymorphism will have identical effects in different individuals. However, there is substantial evidence indicating that this is not the case. Epistasis is the phenomenon in which multiple polymorphisms interact with one another to amplify or negate each other’s effects on a trait. We hypothesized that individual SNP effects could be changed in a polygenic manner, such that the proportion of as genetic ancestry, rather than specific markers, might be used to capture epistatic interactions. Motivated by this possibility, we develop a new statistical test that allowed us to examine the genome to identify polymorphisms which have different effects depending on the ancestral makeup of each individual. We use our test in two different populations of inbred mice and a yeast panel and demonstrate that these sorts of variable effect polymorphisms exist in 14 different physical traits in mice and 38 phenotypes in yeast as well as in murine gene expression. We use the term “polygenic epistasis” to distinguish these interactions from the more conventional two- or multi-locus interactions.

scholarly journals HUBUNGAN JENIS PEKERJAAN IBU DENGAN PEMBERIAN ASI PADA BAYI DI PUSKESMAS RANOMUUT MANADO

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Edward R. Koba ◽  
Sefti S. Rompas ◽  
Vandri D. Kallo
Keyword(s):  
Health Center ◽  
Research Design ◽  
Exclusive Breastfeeding ◽  
Statistical Tests ◽  
Sampling Technique ◽  
Statistical Test ◽  
Chi Square ◽  
Cross Sectional ◽  
Purposive Sampling ◽  
Center Research

Abstract : Exclusive breastfeeding is not giving the baby food or other drinks, other than breastfeeding. Work is generally a time-consuming activity for the mother. One of the causes of the failure of exclusive breastfeeding is working mothers. The purpose of this research was to determine the relation between the type of work of mothers with exclusive breastfeeding to infants at Ranomuut Manado Health Center. Research Design This type of research uses an analytical survey type with a cross sectional approach. The number of samples is 39 people using purposive sampling technique. The data was collected using by questionnaire. The analysis of the data using Pearson Chi-square statistical test. The results showed that mothers with the most types of work were IRT (51.3), most babies received exclusive breastfeeding for (48.7%) and the results of statistical tests obtained p = 0.024 <0.05. The Conclusion of this research are there is a correlation between the type of work of mothers with exclusive breastfeeding for infants at Ranomuut Manado Health Center.Keywords: Type of works, Exclusive Breastfeeding.Abstrak : Menyusui eksklusif adalah tidak memberikan bayi makanan atau minuman lain, selain menyusui. Bekerja umumnya merupakan kegiatan yang menyita waktu bagi ibu. Salah satu penyebab belum berhasilnya pemberian ASI Eksklusif adalah ibu bekerja. Tujuan Penelitian ini bertujuan untuk mengetahui hubungan jenis pekerjaan ibu dengan pemberian ASI Eksklusif pada bayi di Puskesmas Ranomuut Manado. Desain Penelitian Jenis penelitian ini menggunakan jenis penelitian survey analitik dengan pendekatan cross sectional. Jumlah sampel 39 orang dengan menggunakan teknik sampel purposive sampling. Alat pengumpulan data berupa kuesioner. Analisa data menggunakan uji statistic Pearson Chi-square. Hasil Penelitian didapatkan bahwa ibu dengan jenis pekerjaan paling banya yaitu sebagai IRT (51,3), sebagian besar bayi mendapatkan ASI Eksklusif sebesar (48,7%) dan hasil uji statistic didapatkan nilai p = 0,024 < 0,05. Kesimpulan ada hubungan jenis pekerjaan ibu dengan pemberian ASI Eksklusif pada bayi di Puskesmas Ranomuut Manado. Kata Kunci : Jenis Pekerjaan ibu, ASI Eksklusif

scholarly journals Common mistakes in data presentation and statistical analysis: how can the BioStat Decision Tool help?

2013 ◽  
Author(s):  
Siouxsie Wiles ◽  
Anne L Bishop
Keyword(s):  
Scientific Literature ◽  
Statistical Tests ◽  
Statistical Test ◽  
Statistical Techniques ◽  
Sample Collection ◽  
Decision Tool ◽  
Data Presentation ◽  
Journal Editors ◽  
Molecular Microbiology ◽  
User Friendly

As medical and molecular microbiologists who regularly read the scientific literature, it is our impression that many published papers contain data that is inappropriately presented and/or analysed. This is borne out by a number of studies which indicate that typically at least half of published scientific articles that use statistical methods contain statistical errors. While there are an abundance of resources dedicated to explaining statistics to biologists, the evidence would suggest that they are largely ineffective. These resources tend to focus on how particular statistical tests work, with reams of complicated-looking mathematical formulae. In addition, many statisticians are unfamiliar with the application of statistical techniques to molecular microbiology, instead telling us we need more samples, which can be difficult both ethically and practically in fields that include animal work and painstaking sample collection. In an age where performing a statistical test merely requires clicking a button in a computer programme, it could be argued that what the vast majority of biologists need is not mathematical formulae but simple guidance on which buttons to click. We have developed an easy to follow decision chart that guides biologists through the statistical maze. Our practical and user friendly chart should prove useful not only to active researchers, but also to journal editors and reviewers to rapidly determine if data presented in a submitted manuscript has been correctly analysed.

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