If you are trying to measure how fast an ice cube melts with or without salt added, your Independent variable would be amount of salt added, and your Dependent variable would be the amount of time it takes to melt.
A dependent variable is what you measure in the experiment and what is affected during the experiment. The dependent variable responds to the independent variable. It is called dependent because it "depends" on the independent variable. In a scientific experiment, you cannot have a dependent variable without an independent variable. Example: You are interested in how stress affects heart rate in humans. Your independent variable would be the stress and the dependent variable would be the heart rate. You can directly manipulate stress levels in your human subjects and measure how those stress levels change heart rate.
There are two types of variables. The first one is called the experimental variable. It is what you are compare everything to or the normal thing. For instance, what plant grows better the one with sunlight or the one without. The one with sunlight would be the experimental variable. The second type of variable is the dependent variable, which is the data you are collecting. Relating back to the plant experiment, how well the plant grows would be the dependent variable.
The independent variable is also known as the experimental variable. It is the one variable that is manipulated or allowed to vary. All other variables are kept constant. For example, if you want to determine the relationship between mass and acceleration, you would vary the mass and it would be the independent variable. You would then measure the acceleration that occurs with different masses, which would be the dependent variable.
An independent variable is something you can change without changing anything else.
Doing so can enable you to pinpoint which independent variable had what effect on the dependent variable. If more that one variable is altered, there is no way of knowing which of them actually contributed to the change without doing further experimentation.
the dependent variable is the y-value. the dependent variable means it relys on another variable for its answer. without the other variable this variable would not exist. the independent variable is the x-value. the independent variable can exist on its own without the dependent variable. i mention x-values and y-values... this is only if you are using an x and y value for your application. there are other applications... like speed... where the dependent variable for speed would be time and the independent variable for speed would be distance. and for acceleration the dependent variable would be speed and the independent variable would be distance.
A dependent variable is something that depends on other factors. It is what gets measured and what is affected during an experiment. Without an independent variable there can be no dependent variable.
This can't be answered without a context.
A dependent variable is what you measure in the experiment and what is affected during the experiment. The dependent variable responds to the independent variable. It is called dependent because it "depends" on the independent variable. In a scientific experiment, you cannot have a dependent variable without an independent variable. Example: You are interested in how stress affects heart rate in humans. Your independent variable would be the stress and the dependent variable would be the heart rate. You can directly manipulate stress levels in your human subjects and measure how those stress levels change heart rate.
The dependent variable in this scenario is the weight that the rubber band or string can hold without breaking. By testing the breaking point of both materials with increasing weights, you can determine which one can hold more weight before breaking. The dependent variable will be the maximum weight each material can withstand without breaking.
It depends on the context in which x is being considered. In statistics, if x represents the independent variable, then it is considered independent. However, if x represents the dependent variable, then it is considered dependent.
False. In an experiment, a constant refers to a factor that does not change, while the variable being measured is typically called the dependent variable. The constant helps ensure that the experiment tests the effect of the independent variable on the dependent variable without interference from other factors.
The answer depends on what characteristics of the class are being measured. Without this information it is pointless trying to guess at an answer.
See link for the Wikipedia article. The dependent variable is sometimes called response variable, or outcome variable. During what year of school, K thru 12, do kids experience the greatest average change in height (or weight)? You are "manipulating" what year of school a child is in. You aren't making any changes on this-- this is just your independent variable. You are going to measure height change for each child, so a starting and ending measure is needed. Height is the dependent variable.
In children exposed to terrorism, the terrorism would be the independent variable because it is the cause of the post traumatic stress. The post traumatic stress would be the dependent variable because it would not have happened without the terrorism.
Controlling all parameters except the independent variable is essential to isolate the effects of the independent variable on the dependent variable. This ensures that any changes observed in the dependent variable can be attributed solely to the manipulation of the independent variable, thereby enhancing the validity and reliability of the experiment. Without controlling these parameters, confounding variables could introduce bias and lead to inaccurate conclusions.
There are two types of variables. The first one is called the experimental variable. It is what you are compare everything to or the normal thing. For instance, what plant grows better the one with sunlight or the one without. The one with sunlight would be the experimental variable. The second type of variable is the dependent variable, which is the data you are collecting. Relating back to the plant experiment, how well the plant grows would be the dependent variable.