InferenceAnalysesHypothesisMethodsConfidence intervalsRegressionMultivariateAnalyticalActuarial SciencesEmpiricalMethodologicalLaboratoryConclusionsAppropriate statisticalMethodologyAnalytics2017CollectionExploratoryMathematicalInterpretDichotomous dataResults of statistical analysisAcquisitionSPSSPracticeConceptsBayesianProbabilityConductResearchSamplesEpidemiologicComputeTechniquesCritical revisionPredictiveRange of statisticalStudyCommonlyResearchersDescriptorEmphasisAssessmentMeasurementTestsPresenting DataSubjectsQualitativePracticalMedianClinical2000OrdinalExperimental dataReportingBiologicalExamples
Inference6
- Bootstrapping: a nonparametric approach to statistical inference. (psu.edu)
- Tools for Statistical Inference, Methods for the Exploration of Posterior Distributions and Likelihood Functions. (psu.edu)
- Unzfiing Political Methodology: The Likelihood Theory of Statistical Inference. (psu.edu)
- Statistical inference makes it possible for us to state, given a sample size (100) and a population size (10,000), how often false hypotheses will be accepted and how often true hypotheses are rejected. (encyclopedia.com)
- This course helps students to develop a deeper understanding of the strengths and limitations of different approaches to inference and to appreciate some of the ongoing arguments among the adherents of the different philosophies regarding statistical inference. (bc.edu)
- sampling problems basic to statistical inference. (nyu.edu)
Analyses7
- The Revised National Alzheimer's Coordinating Center's Neuropathology Form-Available Data and New Analyses. (rush.edu)
- The evaluation of potential biases introduced at this step is challenging for metatranscriptomic samples, where data analyses are complex, for example because of the lack of reference genomes. (biomedcentral.com)
- The Biostatistics Group assists researchers with all sizes and types of projects, from simple data analyses to large, multi-center clinical trials. (ucdavis.edu)
- Hand in of analyses done in SPSS, plus interpretation of results. (uib.no)
- Aspirants who want to become Business Data Visualization analysts /experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate reports. (sas.com)
- The Master of Science in Applied Statistics and Psychometrics meets the need for quantitative specialists to conduct statistical analyses, design quantitative research studies, and develop measurement scales for educational, social, behavioral, and health science research projects. (bc.edu)
- The data are displayed without statistical analyses for the viewers interpretation. (slideshare.net)
Hypothesis2
- This course builds on ESE 301 (Engineering Probability), and introduces students to the basic methods of statistical estimation, hypothesis testing, and regression. (upenn.edu)
- The resultant data go through multi-step downstream processes including (4) statistical data analysis such as principal component analysis, (5) data interpretation such as pathway analysis, (6) generation of testable hypothesis and construction of the model representing the biological phenomenon, and (7) experimental validation of hypothesis and building models. (frontiersin.org)
Methods20
- ASQ/ANSI/ISO 16269-4:2010 provides detailed descriptions of sound statistical testing procedures and graphical data analysis methods for detecting outliers in data obtained from measurement processes. (asq.org)
- Standardization in the application of statistical methods, including generation, collection (planning and design), analysis, presentation and interpretation of data. (iso.org)
- ISO Council, by Council Resolution 12 / 1959 and Council Resolution 26 / 1961 has entrusted ISO / TC 69 with the function of advisor to all ISO technical committees in matters concerning the application of statistical methods in standardization. (iso.org)
- To this end, the transportation community can adopt, adapt, and participate in the development and application of standard methods for data-collection, -processing, and -distribution. (usgs.gov)
- Multivariate statistical methods (cluster analysis and principal components analysis) were used to assess the data collection. (edu.pl)
- Highlighting advances that have lent to the topic's distinct, coherent methodology over the past decade, Log-Linear Modeling: Concepts, Interpretation, and Application provides an essential, introductory treatment of the subject, featuring many new and advanced log-linear methods, models, and applications. (wiley.com)
- He has published twenty books and over 350 journal articles on statistical methods, categorical data analysis, and human development. (wiley.com)
- cDNA and library preparation methods may affect the outcome and interpretation of metatranscriptomic data. (biomedcentral.com)
- He is co-author of Statistical Methods for Reliability Data (Wiley, 1998) and of numerous publications in the engineering and statistical literature and has won many awards for his research. (wiley.com)
- STATISTICAL SLEUTH is an innovative treatment of general statistical methods, taking full advantage of the computer, both as a computational and an analytical tool. (booktopia.com.au)
- This is a continuation of Introduction to Methodology, focussing on planning quantitative research, and the methods of analysis of quantitative data. (uib.no)
- Formal statistical methods for engineering applications. (upenn.edu)
- Methods for formulating problems in statistical terms. (upenn.edu)
- The resultant data are then subjected to multi-step downstream processes, including (4) Statistical data analysis approaches such as principal component analysis (PCA) and (5) Data interpretation using methods such as pathway analysis, which facilitate (6) The generation of testable hypotheses and the construction of models that best represent the biological phenomenon (the second half of the cycle in Figure 1 ). (frontiersin.org)
- 1) Data collection - Data is often collected from what we call samples (the subjects for a statistical study) and samples are selected properly through what we call sampling methods. (teach-nology.com)
- With the exception of sodium, this validation study demonstrates Meal-Q and MiniMeal-Q to be useful methods for ranking micronutrient and fiber intake in epidemiological studies with Web-based data collection. (jmir.org)
- In the 1990s she started (together with her team) so called grade data analysis, a science of applying copula and rank methods to problems of correspondence and cluster analysis together with outlier detection. (wikipedia.org)
- Classic methods fail if the input data contain strong outliers, and interpretation of their results should be different for different distribution types. (wikipedia.org)
- Grade Models and Methods for Data Analysis with Applications for the Analysis of Data Populations. (wikipedia.org)
- Grade exploratory methods applied to some medical data sets. (wikipedia.org)
Confidence intervals1
- We calculated pooled risk ratios (RR) for dichotomous data (with 95% confidence intervals). (nih.gov)
Regression1
- Each team is expected to formulate a problem of interest, gather relevant data pertaining to the problem, and analyze this data using multiple regression techniques. (upenn.edu)
Multivariate1
- The intelligent data analysis on the clinical parameter dataset has shown that when a complex system is considered as a multivariate one, the information about the system substantially increases. (edu.pl)
Analytical2
- For researchers seeking more extensive services, please look at our Analytical Services such as fee-for-service projects or collaborative research opportunities with faculty and/or graduate students in the Department of Statistical and Actuarial Sciences. (uwo.ca)
- JOB DESCRIPTION : Utilize their analytical, statistical , and programming skills to collect, analyze, and interpret large data sets. (freelancer.com)
Actuarial Sciences1
- If you have any questions regarding other Introductory Statistics courses not listed here, please contact the Department of Statistical & Actuarial Sciences. (uwo.ca)
Empirical4
- The existing statistical tests for testing equality of predictive values are either Wald tests based on the multinomial distribution or the empirical Wald and generalized score tests within the generalized estimating equations (GEE) framework. (nih.gov)
- To alleviate this, we introduce a weighted generalized score (WGS) test statistic that incorporates empirical covariance matrix with newly proposed weights. (nih.gov)
- It also serves as an excellent reference for applied researchers in virtually any area of study, from medicine and statistics to the social sciences, who analyze empirical data in their everyday work. (wiley.com)
- Graduates holding a master's degree in quantitative psychology may analyze empirical data obtained from scientific research and/or conduct scientific research on psychometrics or statistical phenomena. (mtsu.edu)
Methodological2
- Think before measuring : methodological innovations for the collection and analysis of statistical data / Jean-Luc Dubois. (who.int)
- In addition to People Statistical Notes that evaluate methodological the substantial decrease in fertility during this period, all issues pertaining to summary measures. (cdc.gov)
Laboratory2
- Zhou, Guangquan 05 Fast Electronics Laboratory Director: Professor Wang, Yanfang The laboratory mainly focuses on high-speed data acquisition and real-time signal processing. (caltech.edu)
- Students will gain laboratory experience in administration, scoring, and interpretation of psychological tests. (bc.edu)
Conclusions9
- You may have heard the saying "You can prove anything with statistics," which implies that statistical analysis cannot to be trusted, that the conclusions that can be drawn from it are so vague and ambiguous that they are meaningless. (encyclopedia.com)
- Only two papers (including 120 device studies) reported separate data for devices and we did not find a difference between drug and device studies on the association between sponsorship and conclusions (test for interaction, P = 0.23). (nih.gov)
- 1. Drawing Statistical Conclusions. (booktopia.com.au)
- Data interpretation depends on the type of conclusions sought. (teach-nology.com)
- Inferential statistics concerns itself with deriving conclusions beyond the given data. (teach-nology.com)
- Inferential statistics is used, given the data from the sample, to make conclusions about the general population where the sample comes from. (teach-nology.com)
- Furthermore, there should be extra sensitivity in selecting respondents and organizing survey results so that the conclusions derived from statistical analysis will be as impartial as possible. (teach-nology.com)
- Due to the scope of the project, comprising the range of topics addressed, the diversity of data and sources employed, and the many types of conclusions and comments advanced, The Skeptical Environmentalist does not fit easily into a particular scientific discipline or methodology. (wikipedia.org)
- However, The Skeptical Environmentalist is methodologically eclectic and cross-disciplinary, combining interpretation of data with assessments of the media and human behavior, evaluations of scientific theories, and other approaches, to arrive at its various conclusions. (wikipedia.org)
Appropriate statistical2
- and interpreting runoff data using appropriate statistical techniques. (usgs.gov)
- Planning for appropriate sampling and study designs and the choice of appropriate statistical methodology (e.g. (uwo.ca)
Methodology4
- Review and analysis of the metadata collected for the National Highway Runoff Data and Methodology Synthesis indicates that much of the available data is not suf?ciently documented for inclusion in a technically defensible regional or national data set. (usgs.gov)
- Consistent with the APA training model, students take courses in each of the core domains of psychology: biological, cognitive/affective, and social aspects of behavior, history and systems of psychology, psychological measurement, research methodology, and techniques of data analysis. (bc.edu)
- Federally funded and nonprofit agencies have set rigorous expectations in research methodology and data analysis for the studies they fund. (bc.edu)
- Assessment using SCROM methodology and Psychometric analysis for statistical results. (freelancer.com)
Analytics3
- This course teaches how to explore data, build reports & queries using SAS Visual Analytics. (sas.com)
- He has conducted mentoring workshops in the area of Business Forecasting, Predictive Modeling, Big Data Analytics, Operations Research & Design of Experiments with leading corporations in the area of banking, retail, manufacturing & agriculture. (sas.com)
- He is responsible for building the analytics group at the small, rapidly growing biotech company in Marietta, Ga. The coursework, faculty, and student interactions at MTSU provided a strong foundation that enabled Tucker to have many early career successes in the healthcare field, particularly in using data for complex decision-making, he says. (mtsu.edu)
20173
- Spatial distribution of unadjusted death rate per 100,000 population of deaths from gun violence across the contiguous United States, by state, in 2017 in 2 data sets: the Centers for Disease Control and Prevention (CDC) Wide-ranging OnLine Data for Epidemiologic Research (WONDER) database (1) (panel 1a) and the Gun Violence Archive (GVA) (2) (panel 1b). (cdc.gov)
- Cluster maps of the spatial dependency of gun violence mortality rates across the contiguous United States, by state, in 2017 in 2 data sets: the Centers for Disease Control and Prevention (CDC) Wide-ranging OnLine Data for Epidemiologic Research (WONDER) database (1) (panel 2a) and the Gun Violence Archive (GVA) (2) (panel 2b). (cdc.gov)
- Through this project, we analyzed spatial similarities in 2017 between the CDC WONDER and GVA data sets for the contiguous United States. (cdc.gov)
Collection8
- Applicants are expected to manage data generated through sample collection and submit to EPA. (epa.gov)
- For comparison, we used the GVA, an independent data collection and research group that collects data on gun violence deaths and injuries from law enforcement, media, and commercial sources with the goal of providing near real-time gun violence data (2). (cdc.gov)
- It is necessary to establish systematic data-quality objectives, an integrated quality system, and standard protocols for sample collection, processing, analysis, documentation, and publication to ensure that resources expended to meet environmental research needs are used ef?ciently and effectively. (usgs.gov)
- Integration of Federal, State, and local regulatory, data-collection, and research programs within a system to facilitate information transfer will provide an economy of scale by making research results available to the entire research community. (usgs.gov)
- I believe that this meeting is an important step for forest data collection in the Pacific. (fao.org)
- I note from the agenda that there will be presentations from the countries on the status and level of their data collection and papers on specific topics presented by the different resource persons. (fao.org)
- I believe this workshop is important to the overall management of the region s forests, is timely, and will go far in addressing the region s data collection problems. (fao.org)
- Many think that data collection is as simple as asking the respondents a few questions about a survey. (teach-nology.com)
Exploratory1
- 1978. Exploratory analysis of disease prevalence data from survival/sacrifice experiments. (springer.com)
Mathematical4
- Statistical simulation uses the logic of survey sampling to approximate complicated mathematical calculations. (psu.edu)
- Statistical analysis uses inductive reasoning and the mathematical principles of probability to assess the reliability of a particular experimental test. (encyclopedia.com)
- Mathematical techniques have been devised to allow measurement of the reliability (or fallibility) of the estimate to be determined from the data (the sample, or "N") without reference to the original population. (encyclopedia.com)
- Over the past decades, a number of databases involving information related to mass spectra, compound names and structures, statistical/mathematical models and metabolic pathways, and metabolite profile data have been developed. (frontiersin.org)
Interpret1
- Applicants are expected to interpret data through statistical analysis and report findings to EPA, publish in peer-reviewed venues and contribute to annual GLCWMP technical reports. (epa.gov)
Dichotomous data1
- thus dichotomous data involves the construction of classifications as well as the classification of items. (wikipedia.org)
Results of statistical analysis2
- Statistical analysis can be reliable and the results of statistical analysis can be trusted if the proper conditions are established. (encyclopedia.com)
- he or she is concerned about the results of statistical analysis. (teach-nology.com)
Acquisition5
- The lab will include a module on computer aided data acquisition. (unm.edu)
- 1) Sample preparation, (2) Data acquisition, and (3) Data pre-processing (the first half of the cycle in Figure 1 ). (frontiersin.org)
- The processes include (1) sample preparation, (2) data acquisition, and (3) data pre-processing. (frontiersin.org)
- Technical procedures, acquisition of data. (scielo.br)
- Acquisition of data, critical revision. (scielo.br)
SPSS2
- I have some data here that need to be done via spss . (freelancer.com)
- I have learned not only the mathematics and conceptual ideas behind a number of advanced statistical techniques but I have also gained experience with writing syntax in the statistical programs, SAS, SPSS, and R," Freund says. (mtsu.edu)
Practice2
- The focus is also on practice in oral presentations, discussion and written interpretations of primary literature. (bowdoin.edu)
- That is far from actual statistical practice. (teach-nology.com)
Concepts3
- The introduced concepts have potential to lead to development of the WGS test statistic in a general GEE setting. (nih.gov)
- Students will apply concepts of error analysis and use computer software for interpretation of experimental data. (unm.edu)
- Includes measurement concepts essential to test interpretation, and experience in evaluating strengths, weaknesses, and biases of various testing instruments. (bc.edu)
Bayesian1
- Bayesian Data Analysis. (psu.edu)
Probability1
- Topics included in this Field Guide are basic probability theory, random processes, random fields, and random data analysis. (spie.org)
Conduct2
- I would like to emphasize that FAO sees the conduct of this exercise as a partnership, where forest data from the countries are reviewed, checked for accuracy and completeness, and verified. (fao.org)
- I want to study this subject - how should I conduct the study and conduct my statistical analysis to address my research question? (uwo.ca)
Research14
- Statistical operations : analysis of health research data / Robert P. Hirsch, Richard K. Riegelman. (who.int)
- The most commonly used source for research on gun-related deaths is the Centers for Disease Control and Prevention (CDC) Wide-ranging OnLine Data for Epidemiologic Research (WONDER) database, which compiles data from death certificates (1). (cdc.gov)
- Results of the metadata-review process indicate that few reports document enough of the information and data necessary to establish the quality or representativeness of research results. (usgs.gov)
- Her research focuses on extending generalized latent variable modeling to the study of clustered, repeated measures longitudinal data. (wiley.com)
- As attached to the China Center of IUE Satellite Data, the Center seeks to promote significant advances and research in these fields. (caltech.edu)
- The R software ecosystem is currently the most widely used platform for advanced, data-analytic research across all disciplines. (warwick.ac.uk)
- To give participants an opportunity to introduce, discuss with fellow participants and experts, and solve, specific data-analytic issues arising in their own research. (warwick.ac.uk)
- Reproducibility is a key challenge for data-intensive research, and this course will provide useful tools and techniques to help ensure that research results are robust and replicable by others. (warwick.ac.uk)
- This course provides fundamental tools and understanding for data-based research. (warwick.ac.uk)
- Skills in data analysis, and especially in R , are highly marketable outside academia (for example in business and government, all the way to journalism) as well as in academic research. (warwick.ac.uk)
- Conducting the statistical analysis for a research project. (uwo.ca)
- The AUA understands that statistical analysis is a key component of health care research, which is why it offers comprehensive professional data analysis to urologists and urology practices, other researchers and government and industry groups. (auanet.org)
- The quantitative psychology master's program aims to prepare students for applied and research careers as statisticians, psychometricians, data analysts, and quantitative psychologists in education, business, government, and other organizations. (mtsu.edu)
- He has stated that he began his research as an attempt to counter what he saw as anti-ecological arguments by Julian Lincoln Simon in an article in Wired, but changed his mind after starting to analyze data. (wikipedia.org)
Samples6
- As is clearly seen with a new re-formulation we presented, the generalized score statistic does not always reduce to the commonly used score statistic in the independent samples case. (nih.gov)
- This statistic is simple to compute, always reduces to the score statistic in the independent samples situation, and preserves type I error better than the other statistics as demonstrated by simulations. (nih.gov)
- Remember that most statistical studies use samples instead of entire populations. (teach-nology.com)
- survival curves with respect to summarizing time-to-event data for samples of data. (coursera.org)
- Estimate a Kaplan-Meier by hand for small samples of data. (coursera.org)
- especially with larger samples of data. (coursera.org)
Epidemiologic1
- Statistical analysis of epidemiologic data / Steve Selvin. (who.int)
Compute1
- 5. Compute the data for the missing periods k = n+1, n+2. (fao.org)
Techniques6
- Application of techniques for data model integration (DMI) are increasingly used in many fields of science, finance, economics, etc. (marinespecies.org)
- Most mail surveys, mall surveys, political telephone polls, and other similar data gathering techniques generally do not meet the proper conditions for a random, unbiased sample, so their results cannot to be trusted. (encyclopedia.com)
- The Data Analysis Boot Camp equips candidates with the knowledge, techniques and models to transform data into usable insights for making business decisions. (eventbrite.com)
- These tools include graphic presentation techniques and simplified models to transform the results of data analysis into digestible, easy-to-understand insights and usable recommendations. (eventbrite.com)
- This includes data mining skills, advanced modelling techniques, business visualizations which conveys information in a universal manner and make it simple to share ideas with others. (sas.com)
- b. new data analysis techniques became available. (visionlearning.com)
Critical revision1
Predictive1
- Thus, we believe that the proposed WGS statistic is the preferred statistic for testing equality of two predictive values and for corresponding sample size computations. (nih.gov)
Range of statistical1
- Covers a range of statistical topics. (sas.com)
Study6
- Application of statistical procedures to analyze specific observed or assumed facts from a particular study. (rush.edu)
- Applicants must specify in their application the process by which additional coastal wetland sites/studies will be identified and incorporated into the monitoring program while not comprising overall study objectives and data quality. (epa.gov)
- The current study focuses on CVD risk factors using nationally representative data to determine prevalence of biological CVD risk factors (prehypertension/hypertension, borderline-high/high LDL-C, low HDL-C, and prediabetes/diabetes) by weight status (normal weight, overweight, obese) and their trends among US adolescents aged 12 to 19 years. (aappublications.org)
- Data were derived from 1351 subjects, aged 18-69 years and enrolled in the ORISCAV-LUX study. (mdpi.com)
- The 126-item MiniMeal-Q, developed after the validation study, was evaluated in a simulated validation by using truncated Meal-Q data. (jmir.org)
- The challenge with these data is that the time to the outcome is fully observed on some subjects, but not on those who do not have the outcome during their tenure in the study. (coursera.org)
Commonly3
- And finally, they wanted to generate more sophisticated interpretations of DNA STR profiles (the characterizations found in CODIS) than are commonly used. (ojp.gov)
- They also investigated the mathematics of commonly used statistical calculations and the effects of further complications, such as the presence of family members in DNA sample mixtures. (ojp.gov)
- Although CDC WONDER is the most commonly used source for data on gun violence, concerns have been voiced around the validity of cause-of-death reporting on death certificates (5,6). (cdc.gov)
Researchers2
- This intensive course will bring together early-career researchers (including PhD students) from across Warwick who wish to learn about key principles of modern Data Science, and details of their application in R . (warwick.ac.uk)
- Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition is an up-to-date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals. (wiley.com)
Descriptor1
- Data Interpretation, Statistical" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings) . (rush.edu)
Emphasis2
- Emphasis will be placed on the interpretation of the results. (sas.com)
- The emphasis is on practical applications of these tools, including the analysis of a variety of real-world data sets using standard statistical software. (upenn.edu)
Assessment3
- An assessment of the quality of data on age at first union, first birth, and first sexual intercourse for phase II of the Demographic and Health Surveys program / Anastasia J. Gage. (who.int)
- With appropriate data and information, proper assessment can be made of the status of the different forest resources, and more importantly, enable right management decisions and practices to be made and applied. (fao.org)
- She used real-world national data during her Discovery Education Assessment internship. (mtsu.edu)
Measurement2
- ISO/TR 14468:2010 assesses a measurement process where the characteristic(s) being measured is (are) in the form of attribute data (including nominal and ordinal data). (asq.org)
- The nominal level is the lowest measurement level used from a statistical point of view. (wikipedia.org)
Tests5
- and the associated statistical tests. (cdc.gov)
- The book begins with basic coverage of categorical data, and goes on to describe the basics of hierarchical log-linear models as well as decomposing effects in cross-classifications and goodness-of-fit tests. (wiley.com)
- In the Statistical Test Suite, there are 15 tests were taken from NIST SP 800-22.pdf. (freelancer.com)
- Time to healing was compared between groups using Cox models for clustered data (two-sided tests, p=0.05). (bmj.com)
- Parametric statistical tests are derived from distribution assumptions. (wikipedia.org)
Presenting Data1
- Presenting Data' course by covering more general presentation skills. (jiscmail.ac.uk)
Subjects1
- Time-to-event data comes primarily from prospective cohort studies with subjects who haven to had the outcome of interest at their time of enrollment. (coursera.org)
Qualitative2
- Qualitative data analysis : an expanded sourcebook / Matthew B. Miles, A. Michael Huberman. (who.int)
- Nominal scales were often called qualitative scales, and measurements made on qualitative scales were called qualitative data. (wikipedia.org)
Practical1
- Practical analysis and interpretation of engineering data. (upenn.edu)
Median1
- On the other hand, the median , i.e. the middle-ranked item, makes no sense for the nominal type of data since ranking is meaningless for the nominal type. (wikipedia.org)
Clinical5
- Heo M, Kim N, Rinke ML, Wylie-Rosett J. Sample size determinations for stepped-wedge clinical trials from a three-level data hierarchy perspective. (rush.edu)
- Limited valid data are available regarding the association of fructose-induced symptoms, fructose malabsorption, and clinical symptoms. (springer.com)
- The main goal is to identify the data set structure, finding groups of similarity among the clinical parameters or among the patients. (edu.pl)
- Some recent data projects include evaluating and analyzing the geographic distribution of physicians, determinants of hospital charges, AUA Annual Meeting attendance, member satisfaction surveys, membership trends and clinical studies on conditions such as overactive bladder (OAB), BPH, and hypogonadism. (auanet.org)
- Despite these observational data, no large controlled clinical trials have been conducted to evaluate the relationship between the age of stored RBCs and clinical outcomes. (pnas.org)
20001
- In 'The American Statistician' (February 2000, Vol. 54, No. 1), George Cobb commented, 'What is new and different about Ramsey and Schafer's book, what makes it a 'larger contribution,' is that it gives much more prominence to modeling and interpretation of the sort that goes beyond the routine patterns. (booktopia.com.au)
Ordinal1
- The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted, but still does not allow for relative degree of difference between them. (wikipedia.org)
Experimental data1
- Many of the topics discussed in this chapter pertain to experimental data in general, but the context of their use and examples given are in the field of toxicology. (springer.com)
Reporting1
- Ten papers reported on sponsorship and effect size, but could not be pooled due to differences in their reporting of data. (nih.gov)
Biological1
- For an extensive discussion of the statistical analysis of biological data, the reader may refer to a multitude of books and articles. (springer.com)
Examples2
- Every day examples are improvement of geophysical model descriptions (flows, water levels, waves), improvements and optimization of daily weather forecasts, detection of errors in data series, on-line identification of stolen credit card use, detection of malfunctioning components in manufacturing processes. (marinespecies.org)
- With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get students excited about statistics. (booktopia.com.au)