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horrorfan [7]
3 years ago
9

I NEED HELP ASAP!!! I’ll mark smartest

Biology
1 answer:
Anna007 [38]3 years ago
6 0
Ok press alt f4 your welcome
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In a population, when the birthrate becomes higher than the death rate, the population’s growth rate
erastovalidia [21]
Higher. More births in 1 year and less deaths gives a bigger amount of people.
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4 years ago
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Which is the most highly sensitive time within the developing embryo for the risk of malformation related to environmental terat
Mashutka [201]

The most highly sensitive time within the developing embryo for the risk of malformation related to environmental teratogens is cleft palate at 8 weeks gestation. It is an opening in the roof of the mouth.

A teratogen is any substance and/or physical agent that may cause an irreversible abnormality in the structure of the developing embryo or fetus (e.g., classical pesticides such as DDT).

Cleft palate is a malformation mainly caused by mutagenic agents (teratogens) during pregnancy, which affects approximately one (1) of 650 births.

A cleft palate is a malformation that occurs when the two plates of the skull that form the roof of the mouth cannot be completely joined.

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3 years ago
Ecology is the study of cells and their functions.
Svetradugi [14.3K]

That is false. Ecology is the study of relations of organisms to one another and to their physical surroundings. Cell biology is the study of cells and their functions.

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6 0
3 years ago
Identify the independent variable.
qaws [65]
Dependent and independent variables are variables in mathematical modeling, statistical modeling and experimental sciences. Dependent variables receive this name because, in an experiment, their values are studied under the supposition or hypothesis that they depend, by some law or rule (e.g., by a mathematical function), on the values of other variables. Independent variables, in turn, are not seen as depending on any other variable in the scope of the experiment in question; thus, even if the existing dependency is invertible (e.g., by finding the inverse function when it exists), the nomenclature is kept if the inverse dependency is not the object of study in the experiment. In this sense, some common independent variables are time, space, density, mass, fluid flow rate[1][2], and previous values of some observed value of interest (e.g. human population size) to predict future values (the dependent variable).[3]
Of the two, it is always the dependent variable whose variation is being studied, by altering inputs, also known as regressors in a statistical context. In an experiment, any variable that the experimenter manipulates[clarification needed] can be called an independent variable. Models and experiments test the effects that the independent variables have on the dependent variables. Sometimes, even if their influence is not of direct interest, independent variables may be included for other reasons, such as to account for their potential confounding effect.
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