Data analysis of variance. Medical search. Frequent questions

Hygiene surveys of pollutants exposure data can be analyzed by analysis of variance (ANOVA) model with a random worker effect. (nature.com)
Typically, workers are classified into homogeneous exposure groups, so it is very common to obtain a zero or negative ANOVA estimate of the between-worker variance ( σ B 2 ). (nature.com)
I have read that for normal distributed data with equal variance we can perform ANOVA test. (answerofmath.com)
However, inequality of variances can easily give misleading results in a one-way ANOVA. (answerofmath.com)
procedure in R. This ANOVA does not assume equal variances. (answerofmath.com)
Analysis of variance (ANOVA), non - parametric ANOVA. (muni.cz)

STATEMENT OF RELEVANCE: The results inform researchers that inter-observer reliability for job-level exposure measurement of forceful exertion analysis obtained from detailed time studies is generally good, but the observers' ability in the estimation of forceful exertion level can be poor. (cdc.gov)
Data Collection Techniques and Content B. Use of NHANES Data C. Editing of the data sets D. Use of sample weights E. Sample Design, Variance Estimation, and Hypothesis testing I. GENERAL NOTES A. DEMOGRAPHIC INFORMATION II. (cdc.gov)

Still avoiding the assumption of equal variances, you can use Welch 2-samples for ad hoc comparisons, using Bonferroni (or some other method) to protect against false discovery. (answerofmath.com)
The F -test statistic can be calculated as a ratio of the variances of two samples, and so can be used to test whether or not data samples come from populations with equal variances. (originlab.com)

It quantifies the severity of multicollinearity in an ordinary least squares regression analysis. (wikipedia.org)
Applied regression analysis : a research tool (Second ed. (wikipedia.org)
Multiple Linear Regression Analysis. (routledge.com)
Poisson Regression Analysis. (routledge.com)
Regression analysis and calibration. (lu.se)
In a hierarchical model, Poisson regression analysis was used. (bvsalud.org)

Topics covered will include the role of statistics in business decisions, organization of data, frequency distributions, probability, normal and sampling distributions, hypothesis tests, linear regression and an introduction to time series, quality control and operations research. (uoguelph.ca)

These portfolios span the mean-variance efficient set. (ssrn.com)

Using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), the current study investigates the psychometric properties of the Chinese version of the student questionnaire (PIRLS-SQCV 2011) and identifies its underlying factor structure among Chinese fourth-grade pupils in Hong Kong. (hindawi.com)
Construct validity of the questionnaire was examined using an exploratory factor analysis (maximum likelihood with promax rotation). (bvsalud.org)

Select Statistics: Hypothesis Testing: Two-Sample Test for Variances . (originlab.com)
Specify the Input Data Form (Indexed or Raw) and then fill Input Data , the F-test for Variances Ratio , and the Alternate Hypothesis. (originlab.com)
We tested our hypothesis using a 3-year longitudinal data set collected from heterosexual newlywed couples. (frontiersin.org)

Many claim data sets are modeled, and estimates of loss reserve produced, by means of simple statistical structures. (variancejournal.org)
Indeed, the results differ because model2 estimates the variance components only based on the subset, while model1 estimates those variances based on all data. (ethz.ch)
MR estimates were calculated using the inverse-variance weighted method, supplemented by MR-Egger, weighted median, and MR-PRESSO methods. (frontiersin.org)

His areas of Research Interests are Inventory modeling, Sampling plans and Data Analysis. (routledge.com)
This variable contains analysis (regression or sampling) weights. (ibm.com)
Sampling from biological populations, data processing. (muni.cz)

However, because of a large number of false positives, those methods could not automatically and stably track the core of sustaining spiral reentry in optical mapping data. (embs.org)
We compared the performance of the two methods using real data and simulations with respect to estimating both the between-worker variance and the probability of overexposure in balanced designs. (nature.com)
NHANES uses several methods to monitor the quality of the analyses performed by the contract laboratories. (cdc.gov)
Basic Experimental Strategies and Data Analysis for Science and Engineering has many good qualities, from the inclusion of real data to a unique focus on the industrial use of statistical methods. (maa.org)
Methods for dealing with missing data include deleting, imputing, or predicting. (pluralsight.com)
The course will teach the students statistical methods of analysis commonly used in clinical and epidemiological research. (uit.no)
Exam on computers based on correct application of statistical methods on example data. (muni.cz)
Our analysis has been the amino acid sequences in proteins differ from what is carried out using two different methods, which differ substantially expected from random sequences in a statistically significant from what is used in ref. 3, although the starting point is similar. (lu.se)
METHODS AND ANALYSIS: We will link the baseline of the 100 Million Brazilian Cohort (2001-2015), which includes information on socioeconomic and demographic variables, to the MCMV (2009-2015), CVD mortality (2007-2015), leprosy (2007-2015) and tuberculosis (2007-2015) registries. (bvsalud.org)
METHODS: To obtain crucial data and scientific knowledge about the therapeutic uses of garlic, systematic literature searches were conducted using key terms on well-known indexed platforms such as PubMed, Scopus, Web of Science, Medline, Embase, and popular search engines. (bvsalud.org)
Methods: Data from a cross-sectional study with a sample of 139 individuals were assessed. (bvsalud.org)

Also known as data munging, this is the process of normalizing data, identifying missing data and performing cleanup either to remove the missing data or transform existing data using basic statistical operations like mean or median to impute missing values. (pluralsight.com)
Some of the commonly used approaches for continuous data are the mean/average, median, or mode value of the features. (pluralsight.com)
The user can also connect median points, data points or other percentiles, using controls on the Connect Lines tab of the Plot Details dialog. (originlab.com)

In addition, you can produce the confidence intervals for the sample variances ratio, histogram and box chart, and the power analysis. (originlab.com)

Data Analysis, Design of Experiments and Machine Learning This course will provide the conceptual foundation so that a student can use modern statistical concepts and tools to analyze data generated by experiments or numerical simulation. (purdue.edu)
We will also discuss principles of design of experiments so that the data generated by experiments/simulation are statistically relevant and useful. (purdue.edu)

The fallacy sometimes present when drawing inferences regarding variability across groups (or the relation between group level variables) based on individual level data, or more generally, the fallacy of drawing inferences regarding variability across units defined at a higher level based on data collected for units at a lower level. (bmj.com)

As a result, including two or more variables in a multiple regression that are not orthogonal (i.e. have correlation = 0), will alter each other's slope, SE of the slope, and P-value, because there is shared variance between the predictors that can't be uniquely attributed to any one of them. (wikipedia.org)

The square root of the variance inflation factor indicates how much larger the standard error increases compared to if that variable had 0 correlation to other predictor variables in the model. (wikipedia.org)
Example If the variance inflation factor of a predictor variable were 5.27 (√5.27 = 2.3), this means that the standard error for the coefficient of that predictor variable is 2.3 times larger than if that predictor variable had 0 correlation with the other predictor variables. (wikipedia.org)
The analysis of NHANES laboratory data must be conducted with the key survey design and basic demographic variables. (cdc.gov)
Students are led to identify the essential variables and appropriate methodologies related to the real data. (maa.org)
Bivariate and multivariate analysis involve comparing two, or more than two variables, respectively. (springboard.com)
Bring more data into the dataset being studied so that it becomes easier to parse the relationships between input and output variables. (springboard.com)
This implies that the data logger and monitoring system is good and can be used to monitor solar energy variables even at the comfort of our homes. (scirp.org)
We fitted a model to the generated data and found that the meteorological variables considered accounted for 99.88% of the power output in the rainy seasons while 0.12% of the variation was not explained due to other factors. (scirp.org)
Term used to refer to data or variables for a higher level unit (for example, a group) constructed by combining information for the lower level units of which the higher level unit is composed (for example, individuals within the group). (bmj.com)
explain the concepts of independence, probability, distribution, expectation, and variance, · calculate the probability of an event, and the expectation and variance from a given distribution, · describe fundamental techniques for statistical inference and be able to use them on basic statistical models, · describe the similarities and differences concerning statistical relationship between two variables and a cause-effect relationship between two variables. (lu.se)
relate questions regarding random variation and observed data, as they appear in applications, to the concepts of random variables, distributions, and relationships between variables, · examine a statistical model and its ability to describe reality, · examine a simple measurement situation and judge whether data is collected in a way that allows further analysis. (lu.se)
Nubia A mparo Giraldo Giraldo 1 principal component analysis were used to analyze the relationship between some variables and vitamin D status. (bvsalud.org)

In statistics, the variance inflation factor (VIF) is the ratio (quotient) of the variance of estimating some parameter in a model that includes multiple other terms (parameters) by the variance of a model constructed using only one term. (wikipedia.org)
Upon clicking OK , an analysis report sheet is generated that lists degrees of freedom, F-statistics , the associated p-value , and the test conclusion . (originlab.com)
As recommended in the Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report , this book employs real data in its examples and exercises. (maa.org)
It could work well as a textbook for an upper-level course like an engineering design seminar, or as a reference guide for someone with a general statistics background who needs this more specific focus on data analysis. (maa.org)
He has authored a book titled 'Statistics Made Simple' using Excel and SPSS, apart from delivering lectures on software based analysis and interpretation. (routledge.com)
R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualizations. (horizonbooks.com)
Descriptive statistics, data visualisation. (muni.cz)
In addition to all of Origin's features, OriginPro offers advanced analysis tools and Apps for Peak Fitting, Surface Fitting, Statistics and Signal Processing. (originlab.com)
Any publication based on the data should acknowledge the National Center for Health Statistics (NCHS) as the original source.It should include a disclaimer which credits the authors for any analyses, interpretations, or conclusions, and not NCHS, which is responsible only for the data. (cdc.gov)
Please forward copies to: Division of Health Examination Statistics National Center for Health Statistics Center Building, Room 2-58, 3700 East-West Highway Hyattsville, Maryland 20782 Editing of the Data Sets The data users' tapes have been subjected to a great deal of careful editing. (cdc.gov)
The Division of Health Examination Statistics, NCHS would appreciate if any such errors are detected that they be brought to our attention so that errata sheets can be issued to previous purchasers and corrections made if new data tapes are created. (cdc.gov)
Because state-level data are not released to the public, all analyses were performed remotely at the National Center for Health Statistics Research Data Center. (cdc.gov)

We use a regression model to predict continuous data and a classification model for categorical data. (pluralsight.com)
Continuous, ordinal and nominal data in biology. (muni.cz)

Detailed Notes Use of NHANES Data NCHS requests the cooperation of recipients of data tapes in certain actions related to their use: 1. (cdc.gov)

Intraclass correlation coefficient and variance components were computed. (cdc.gov)

This function performs F -test for testing whether the variance from one population equals, greater or less than the other one, and then creates a confidence interval for the sample variance ratio. (originlab.com)
There are cases where we cannot afford to drop existing data, especially if the sample size of the data is relatively small or if the ratio of null values is relatively high. (pluralsight.com)

Williams, J. S. A confidence interval for variance components. (nature.com)

We used data from the National Health Interview Survey from 1997 through 2010 to calculate the prevalence of these behaviors among older Americans and rank each state, and we analyzed overall trends in prevalence for each behavior over the 14 years. (cdc.gov)
Weight was generated with the inverse of the variance of prevalence. (cdc.gov)

In this course, students will learn how to implement good study design and analyze data from complex studies. (uoguelph.ca)

It also says that the assumptions do not need necessarily to be be met in case that we have large enough sample size (is this statement true for both assumptions - variance equality and normal distribution? (answerofmath.com)

Since I want to test whether the average effect size differs from zero in the data without a potential_sce bias (subgroup 'no'), which of the two approaches do you recommend? (ethz.ch)
Since data on the association of CRP levels with ALS are often derived from observational studies, which could be subject to potential confounding bias and reverse causes, such as chronic diseases, cardiovascular risk factors and so on, it is unclear whether CRP levels are a risk factor for ALS. (frontiersin.org)

Cuthbert Daniel claims to have invented the concept behind the variance inflation factor, but did not come up with the name. (wikipedia.org)
Origins of the Variance Inflation Factor as Recalled by Cuthbert Daniel (Technical report). (wikipedia.org)
It will provide only limited revelation of the claim processes and mechanics (e.g., superimposed inflation ( SI )) generating the data set. (variancejournal.org)

The stats package provides data analysis functions, such as various means and quantiles, plotting functions, such as histograms and scatter plots, and data manipulation functions, such as weighted moving average and standard scores. (maplesoft.com)
Data analysis functions. (maplesoft.com)
Data manipulation functions. (maplesoft.com)
The secret of success in such an endeavor is the selection of the set of candidate basis functions for representation of the data set. (variancejournal.org)

Special sample weights (WTSB2YR) are required to analyze these data properly. (cdc.gov)
Specific sample weights for this subsample are included in this data file and should be used when analyzing these data. (cdc.gov)
Analysis weights are used to account for differences in variance across levels of the target field. (ibm.com)
NHIS data were pooled and analyses were conducted using SAS version 9.2 (SAS Institute Inc, Cary, North Carolina), adjusting for sample weights and design effects (3). (cdc.gov)

But can I ignore the results of the test since the variance equality only needs to be 'roughly' met? (answerofmath.com)
Employ regularization techniques, which reduce the amount of variance in the results that a data model produces. (springboard.com)
You would have to allow the variance components to differ for the 'no' and 'yes' levels of 'potential_sce' in 'model1' for the results to be identical. (ethz.ch)
Origin graphs and analysis results can automatically update on data or parameter change, allowing you to create templates for repetitive tasks or to perform batch operations from the user interface, without the need for programming. (originlab.com)
The objectives were to examine inter-observer reliability of job-level forceful exertion analyses and temporal agreement of detailed time study results. (cdc.gov)
The fundamental knowledge is essential for those who, in their professional lives, will not necessarily be involved in statistical analyses on a daily basis, but who, on occasion, will be expected to perform basic statistical tests and present the results to their colleagues. (lu.se)

For categorical data, the mode is always the preferred approach. (pluralsight.com)
Application of goodness-of-fit test in biology, analysis of R x C contingency tables, discrimination of categorical data. (muni.cz)

What Is the Difference Between Univariate, Bivariate, and Multivariate Analysis? (springboard.com)
Multivariate Analysis of Variance (MANOVA). (routledge.com)

The proposed method detects PSs using local spatial phase variance instead of convolutional operation. (embs.org)

For simplicity reasons, we also will not differentiate between the terms 'variance' (e.g. difference between budget and actuals) and 'changes' (difference over time). (bissantz.de)

It provides an index that measures how much the variance (the square of the estimate's standard deviation) of an estimated regression coefficient is increased because of collinearity. (wikipedia.org)
You can create variance measures such as variance to budget, variance to forecast, and forecast variance to budget. (tutorialspoint.com)
You can also analyze the finance data based on these measures. (tutorialspoint.com)
Add the measures Actual Sum, Budget Sum, VTB Sum, VTB % from the Finance Data table to Values. (tutorialspoint.com)
Analysis of Repeated Measures Data. (routledge.com)
Although the glossary often refers to individuals nested within groups, multilevel analysis is applicable to a broad range of situations involving units at a lower level (or micro units) nested within units at a higher level (or macro units) (including for example, persons nested within studies as in meta-analysis, and measures over time nested within individuals as in the analysis of repeat measures). (bmj.com)

For example, Taylor and McGuire (2016) describe in detail the application of generalized linear models ( GLMs ) to claims data. (variancejournal.org)
Finally, we describe the rationale and near-term plans for the Cooperative Association for Internet Data Analysis (CAIDA). (caida.org)

Assignments will deal with real data from the natural sciences and involve the use of statistical software for computing and visualization. (uoguelph.ca)
This free and open source language includes packages for everything from advanced data visualization to deep learning. (horizonbooks.com)
R in Action, Third Edition teaches you how to do statistical analysis and data visualization using R and its popular tidyverse packages. (horizonbooks.com)
He has taught both undergraduate and graduate courses in data analysis and statistical programming and manages the Quick-R website at statmethods.net and the R for Data Visualization website at rkabacoff.github.io/datavis. (horizonbooks.com)

Therefore, A PV data logger and monitoring system is an electronic instrument that records digital, analog, frequency or smart protocol based measurements over time [1]. (scirp.org)
It also provides information on the temporal agreement of detailed forceful exertion analysis and guidelines on achieving better agreement for studies where accurate synchronisation of task activities and direct physiological/biomechanical measurements is crucial. (cdc.gov)

Logistic regression is a form of predictive analysis. (springboard.com)

I would like to ask whether it is possible to perform an analysis of variance on data that is not normally distributed and has unequal variance, but I have large enough sample size. (answerofmath.com)
If I perform for example Levene Test for Equality of Variances it gives me p-value less than 0.05 which means that data has unequal variance? (answerofmath.com)
construct a simple statistical model describing a problem based on a real life situation or on a collected data material, · use a computational program for simulation and interpretation of statistical models, as well as for data analysis, · choose, modify, perform, and interpret a statistical procedure that answers a given statistical problem, · use statistical terms within the field in writing. (lu.se)

Analysis of Variance with Multiple Factors. (routledge.com)

Data analysis will be carried out using an anonymised dataset, accessed by researchers in a secure computational environment according to the Centre for Integration of Data and Health Knowledge procedures. (bvsalud.org)

Hence only a principal component analysis is needed in empirical work. (ssrn.com)
We will conclude with a discussion of analytical tools for machine learning and principal component analysis. (purdue.edu)
The input space dimension can be reduced by performing a Principal Component Analysis ( PCA ) and select the n first principal axes as the basis in feature space. (lu.se)

We acknowledge Liesbeth Preller from Wageningen University, the Netherlands, for providing the pig farmers exposure data set. (nature.com)
CONCLUSIONS: The success of cluster analysis in identifying dietary exposure categories with unique demographic and nutritional correlates suggests that the approach may be useful in epidemiologic studies that examine conditions such as obesity, and in the design of nutrition interventions. (lu.se)

We developed a new PS detection algorithm by quantifying the variance of phase values in a phase map. (embs.org)
From Origin 2015, missing values in the grouping range and the corresponding data values will be excluded in analysis. (originlab.com)
Construct individual decision trees for each of the n data values under consideration. (springboard.com)
One of the easier ways to address null values in your data is just to drop them. (pluralsight.com)
In our sample data, there are two rows with null values. (pluralsight.com)
While preparing the data, we must look out for extreme values. (pluralsight.com)
that is, it has been verified that the values have not been incorrectly keyed.Within each data tape numerous consistency checks have been performed. (cdc.gov)
Some states were missing values because they did not meet the criteria for stable estimate analysis in all study years (6). (cdc.gov)
or translate them to their mean values and rescale to unit variance. (lu.se)

Supervised and unsupervised learning systems differ in the nature of the training data that they're given. (springboard.com)
After exclusion of data related to the subgroup 'yes' from variable 'potential_sce' , I conducted a random-effects MLMA and found that the average effect size did not differ from zero. (ethz.ch)

Our data, used with simulation models, can help predict rent approach to identifying critical threshold parameters staff availability and provide information for pandemic pre- for a pandemic is to model disease spread in the popula- paredness planning. (cdc.gov)
The accuracy of your machine learning model prediction depends on the quality of data and the amount of data that is fed to it. (pluralsight.com)
This approach is especially suitable for data sets that contain features such that the chain ladder model is inapplicable. (variancejournal.org)
This category of model includes the artificial neural net ( ANN ), which has been studied in earlier literature (Mulquiney 2006) , and shown to be well adapted to data sets with complex features, such as those modeled with GLMs. (variancejournal.org)
In the atomistic fallacy, the conceptual model being tested corresponds to the higher level, but the data are collected for a lower level. (bmj.com)
PROT data base (6) of functional proteins, this method yields model containing only two amino acid types, hydrophobic and clear evidence for nonrandomness. (lu.se)
permissive with respect to sequence specificity the protein folding process is, we have carried out the same analysis for a Section 1: Introduction toy model (7, 8), for which unbiased samples of folding and Hydrophobicity is widely believed to play a central role in the nonfolding sequences can be obtained. (lu.se)
After deleting three items, the analysis found a four-factor model. (bvsalud.org)
Country-level data was sourced from multiple publicly available sources using the social-ecological framework, logic model, and IHR capacity monitoring framework. (who.int)

The finding that the between-observer variability was less than the between-exertion variability confirmed that the forceful exertion analysis method used in the present study can detect job exertion differences. (cdc.gov)

article{0c518dfd-df50-405d-9cd9-05633fe8ec2a, abstract = {{OBJECTIVE: This study explored the usefulness of cluster analysis in identifying food choice patterns of three groups of adults in relation to their energy intake. (lu.se)

Colormap represents data density computed using a fast algorithm. (originlab.com)

It acts more like a refresher for foundational material, such as variance and tests for comparing means. (maa.org)
Other data sets are modeled by means of more complex statistical structures. (variancejournal.org)
In meta-analysis, the usual way of assessing whether a set of single studies is homogeneous is by means of the Q test. (nih.gov)

From here, users can decide if they want to investigate any interesting details or simply accept the variance without further investigation. (bissantz.de)

introduction to analysis of variance. (uoguelph.ca)

To conclude, I would like to know which test can I use if I have large enough sample size with non-normal distribution with unequal variance (can I use the tests that I have mentioned above or there exists another alternative for my scenario)? (answerofmath.com)
In this article, we are going to use a hypothetical store that has branches all over the U.S. The sample data includes columns for total inventory items and the number of items that have been sold by a specific branch on a specific date. (pluralsight.com)
This can be viewed as a small sample of a huge data set. (pluralsight.com)
Since the sample is not a simple random one, it is necessary to incorporate the person's sample weight for proper analysis of the data.The sample weight is a composite of the individual selection probability, adjustments for nonresponese, and poststratification adjustments. (cdc.gov)

The FRIEND prediction equation provided better prognostic information with receiver operating curve analysis showing significantly different areas under the curve (0.72 and 0.69 for the FRIEND and the Wasserman/Hansen equations respectively, p = 0.001). (bvsalud.org)

Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA, with code, output, and interpretation. (routledge.com)

Multilevel analysis has recently emerged as a useful analytical technique in several fields, including public health and epidemiology. (bmj.com)
This glossary defines key concepts and terms used in multilevel analysis. (bmj.com)
Multilevel analysis, originally developed in the fields of education, sociology, and demography, has received increasing attention in public health and epidemiology over the past few years. (bmj.com)

Are More Data Always Better for Factor Analysis? (ssrn.com)

The data contains weekly MRR components for Publish from October 2017 to October 2019. (buffer.com)
We calculated heritabilities and performed a genome-wide variance components-based linkage scan using genotype data for 1113 microsatellite markers. (bmj.com)

This revised third edition adds new coverage for graphing with ggplot2, along with examples for machine learning topics like clustering, classification, and time series analysis. (horizonbooks.com)
Examples of aggregate data include summaries of the properties of individuals comprising a group, for example, the percentage of persons in a neighbourhood with complete high school or the mean income of state residents. (bmj.com)

DESIGN: Food frequency data were converted to percentage of total energy from 38 food groups and entered into a cluster analysis procedure. (lu.se)

only a small fraction of them folded easily into a thermody- statistical analysis is performed in terms of blocked and namically stable state. (lu.se)
formed a Fourier analysis based on the random walk represen- erties in terms of thermodynamical and kinetic behavior, tation. (lu.se)

Anatomy1

Organisms1

Diseases4

Chemicals and Drugs4

Analytical, Diagnostic and Therapeutic Techniques and Equipment109

Psychiatry and Psychology19

Phenomena and Processes53

Disciplines and Occupations22

Anthropology, Education, Sociology and Social Phenomena12

Technology, Industry, Agriculture3

Humanities2

Information Science52

Named Groups11

Health Care82

Geographicals5

ANOVA6

Estimation2

Equal variances2

Regression analysis6

Linear Regression1

Mean-variance1

Exploratory factor analysis2

Hypothesis3

Estimates3

Sampling3

Methods11

Median3

Histogram1

Experiments2

Inferences1

Multiple regression1

Variables12

Statistics12

Continuous2

NHANES1

Correlation1

Ratio2

Confidence interval1

Prevalence2

Analyze data1

Assumptions1

Bias2

Inflation3

Functions4

Weights4

Results6

Categorical data2

Multivariate analysis2

Spatial1

Differentiate1

Measures6

Describe2

Visualization4

Measurements2

Logistic1

Perform3

Factors1

Dataset1

Principal componen3

Exposure2

Values9

Differ2

Model9

Differences1

Abstract1

Algorithm1

Means3

Investigation1

Introduction1

Sample4

Curve1

Interpretation1

Multilevel3

Factor Analysis1

Components2

Examples2

Percentage1

Terms2