| D008404 |
Massachusetts |
State bounded on the north by New Hampshire and Vermont, on the east by the Atlantic Ocean, on the south by Connecticut and Rhode Island, and on the west by New York. |
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| D008433 |
Mathematics |
The deductive study of shape, quantity, and dependence. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed) |
Mathematic |
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| D011156 |
Population Density |
Number of individuals in a population relative to space. |
Overpopulation,Population Size,Underpopulation,Densities, Population,Density, Population,Population Densities,Population Sizes |
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| D011336 |
Probability |
The study of chance processes or the relative frequency characterizing a chance process. |
Probabilities |
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| D002648 |
Child |
A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. |
Children |
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| D006801 |
Humans |
Members of the species Homo sapiens. |
Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man |
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| D000013 |
Congenital Abnormalities |
Malformations of organs or body parts during development in utero. |
Birth Defects,Congenital Defects,Deformities,Fetal Anomalies,Fetal Malformations,Abnormalities, Congenital,Defects, Congenital,Abnormality, Congenital,Anomaly, Fetal,Birth Defect,Congenital Abnormality,Congenital Defect,Defect, Birth,Defect, Congenital,Deformity,Fetal Anomaly,Fetal Malformation,Malformation, Fetal |
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| D000818 |
Animals |
Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. |
Animal,Metazoa,Animalia |
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| D015233 |
Models, Statistical |
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc. |
Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model |
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| D016012 |
Poisson Distribution |
A distribution function used to describe the occurrence of rare events or to describe the sampling distribution of isolated counts in a continuum of time or space. |
Distribution, Poisson |
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