something that changes and doesn't stay the same a variable is something that you change
By isolating the valve then remove it and replace it
It has nothing to do with C, it simply means: add 1 to a variable.
You mean 'count' as variable-name? It is optional.
Do you mean "responding variable"? In a scientific investigation, you try to change only one thing to see what happens. The thing you change is the manipulated variable (also called the independent variable). The result of this change is the responding variable (also called the dependent variable). For example, what if you measure the temperature of a beaker of water, then put it in the refrigerator for 24 hours, then measure again. The change in the temperature from the room to the fridge is the manipulated variable (you controlled it). Any change in the water temperature is the responding variable. It responded to the change you made.
Isolating a single variable in terms of the rest of the equation provides a solution to that variable. That is, if you know the equation that equals the variable, then you can figure out its value.
Isolating a variable in one of the equations.
A variable that remains constant during an experiment is called a control variable. This is important for isolating the effect of the independent variable on the dependent variable. Keeping control variables consistent helps ensure that any observed changes are due to the manipulated variable and not other factors.
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The constant in a mathematical equation can be found by determining the value of the term that does not change across different values of the variable. This can be done by solving the equation for different values of the variable and isolating the term that remains the same.
isolé is a French word meaning isolated or insulated
You undo one of the operations at a time, always with the aim of isolating the variable you want to solve for on one side.
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a variable that depend on the independent variable
Independent variable is the variable that you change in an experiment.
Changing only one variable at a time in an experiment allows us to clearly identify the effect of that specific variable on the outcome. By isolating variables, we can determine causality and understand the relationship between the variable being tested and the results observed. This approach helps in drawing reliable conclusions and making accurate predictions.