A density dependent factor is a limiting factor that depends on population size. A Density-independent limiting factor affects all populations in similar ways, regardless of the population size. Its in my Biology book.
Density dependent limiting factors operate when population is large and crowded while density independent limiting factors operate independently of population numbers/density. Therefore, density independent limiting factors operate eith way wether the population is huge or not that huge.
A density dependent limiting factor is an environmental factor necessary for a species' survival whose availability, or lack thereof, is directly correlated with the number of organisms. Food, water, and shelter are examples of density dependent factors.
A density dependent limiting factor is an environmental factor that can affect organisms' survival regardless of how many organisms there are. Weather, climate, and natural disasters are examples of density independent factors.
dependent variable is current and independent variable is resisitance
An independent variable is the variable you can change in an experiment. On a graph, it's on the X-axis. A dependent variable is the result of changing the independent variable. It is literally dependent on it. The dependent variable goes on the Y-axis.
A dependent variable is a variable dependent on the independent variable. A control variable is something you want to try to keep the same. A dependent variable is something you measure. An independent variable is something you change.
The scientist wants to design an experiment that will demonstrate the effect of the independent variable on the dependent variable. This idea is to show causality between the two.
What is the difference between the light dependent and the dark reactions of the calvin cycle?
A density dependent factor is a limiting factor that depends on population size. A Density-independent limiting factor affects all populations in similar ways, regardless of the population size. Its in my Biology book.
What is the difference between dependant and independent events in terms of probability
independent variable is the one you control. the dependent variable depends on the indepdendent variable (the results). on the graph independent in on the bottom and dependent is on the side
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Dependent variable is your data, independent variable is what you are testing. Ex. Sunlight would be the independent variable and a plants growth would be the dependent variable.
Independent- It doesn't rely on something. and it stays the same. Dependent- It relies on something. And it changes.
it has something to with mathematical graphs
A dependent country depends on the government to do everything for them. A independent country is free and does not rely on the government for everything
In an experiment the independent is the stimulus, the thing controlled or applied by the experimenter. The dependent variable is the response, the reaction to the independent variable.
An independent variable can be any of a given set of values while a dependent variable is represented as a function of another variable.
One is dependent and one is independent
a dependent variable is something that you cannot change but comes out as a result/an independent variable is something that you change in your experiment like the temperature of something or the amount of something