number of bacteria in the dish
In most real life cases, limiting an experiment to only one independent variable makes the whole experiment a waste of time. More often than not there are several independent variables.
True.
Multicollinearity is when several independent variables are linked in some way. It can happen when attempting to study how individual independent variables contribute to the understanding of a dependent variable
Question: What's a variable?Answer: A variable is an object, event, idea, feeling, time period, or any other type of category you are trying to measure. There are two types of variables-independent and dependent.Question: What's an independent variable?Answer: An independent variable is exactly what it sounds like. It is a variable that stands alone and isn't changed by the other variables you are trying to measure. For example, someone's age might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age. In fact, when you are looking for some kind of relationship between variables you are trying to see if the independent variable causes some kind of change in the other variables, or dependent variables.Question: What's a dependent variable?Answer: Just like an independent variable, a dependent variable is exactly what it sounds like. It is something that depends on other factors. For example, a test score could be a dependent variable because it could change depending on several factors such as how much you studied, how much sleep you got the night before you took the test, or even how hungry you were when you took it. Usually when you are looking for a relationship between two things you are trying to find out what makes the dependent variable change the way it does.Many people have trouble remembering which is the independent variable and which is the dependent variable. An easy way to remember is to insert the names of the two variables you are using in this sentence in they way that makes the most sense. Then you can figure out which is the independent variable and which is the dependent variable:(Independent variable) causes a change in (Dependent Variable) and it isn't possible that (Dependent Variable) could cause a change in (Independent Variable).For example:(Time Spent Studying) causes a change in (Test Score) and it isn't possible that (Test Score) could cause a change in (Time Spent Studying).We see that "Time Spent Studying" must be the independent variable and "Test Score" must be the dependent variable because the sentence doesn't make sense the other way around.
The independent variable is the variable that you are curious about, and that you are going to change is some systematic way in an experiment to see what affect your changes make. What you check, to see if there are differences, is the dependent variable. According to your hypothesis, the values of the dependent variable will 'depend' on how you manipulate the independent variable. You want to know the effect of growing plants under different colors of light. You want to know how different colors of light (the variable you will manipulate) will affect plant growth (the dependent variable). You will want to use several controls, too. For example, if you try the above but you use several different kinds of plant, of different ages, in different soils and temperatures and different amounts of water, and different lengths of exposure to light (some sunlight, some 'full-spectrum lamps', etc) your experiment will be without value, except as a lesson in how not to do it!
When you analyze something, you usually specify two variables, one independent variable, which you can somehow alter or set specific values for, and a dependent variable, in which you see the effect of altering the independent variable. Strictly speaking, you don't have to have only ONE independent variable, but doing so makes the analysis process much simpler. As most phenomena depend on more than one variable, what one does is usually set all other variables as constant and only pick one independent variable. After that, one repeats the whole process choosing another independent variable (and leaving the previous one constant). After analyzing a set dependent variable by testing several independent variables, one can join the results together and get a single relationship between all the tested variables. A good example of this would be the ideal gas law: PV=nRT. To arrive at this relationship between pressure, volume, number of moles and temperature, scientists had to test pairs of variables to get individual relationships. Only after finding each one could they add them all together to make an equation with four variables and not just two.
A well designed science fair project should have one independent variable, one dependent variable, and lots of factors that are held constant as you repeat the experiment several times to verify your results.
They can do, but there are some circumstances where they may not be particularly useful. If, for example, the observations are not in order of the values of the independent variable, then a line plot will be difficult to read. If there are several different values of the dependent variable for a single value of the independent variable, the graph may be difficult to interpret. If there are two or more observations where the values of both variables are the same, the graph may not indicate that the point is in fact a multiple observation.
A total is a variable that accumulates the sum of several numbers. Answer is based on C How to Program (6th Edition)
There are several photos of variable capacitors on this site: www.orenelliottproducts.com
The independent variable in this experiment is the type of rat food (brands X, Y, and Z) that Shara feeds to the rat. It is the factor that is intentionally changed or manipulated by the researcher to observe its effect on the dependent variable, which in this case is the weight of the rat.
A testable variable is what you test several times for a scientific investigation or medical investigation.