me!
Free from outside control means Independent . While dependent Is opposite.
X-y graph
Usually the independent variable is plotted on the horizontal, and the dependent is plotted on the vertical. Example if you're graphing distance vs time, then time is the independent variable, because time keeps going independent of how you are moving.
An independent variable is what you change during an experiment, and a dependent variable is what gets changed. for example, if you are monitoring temperature vs size of plants. Everyday you change the temperature, and then record the size of the plants. Therefore, the temperature is the ind. variable and the size of the plants is the dep. variable.
On a distance vs. time graph, time is usually the independent variable presented on the X axis in the Cartesian Coordinate System. The dependent variable would be distance, and would be presented on the Y axis.
Free from outside control means Independent . While dependent Is opposite.
X-y graph
X-y graph
Usually the independent variable is plotted on the horizontal, and the dependent is plotted on the vertical. Example if you're graphing distance vs time, then time is the independent variable, because time keeps going independent of how you are moving.
An independent variable is what you change during an experiment, and a dependent variable is what gets changed. for example, if you are monitoring temperature vs size of plants. Everyday you change the temperature, and then record the size of the plants. Therefore, the temperature is the ind. variable and the size of the plants is the dep. variable.
Time is on the x-axis as it is the independent variable. The distance is the dependent variable as the distance travelled depends on how long the journey has been going. :)
On a distance vs. time graph, time is usually the independent variable presented on the X axis in the Cartesian Coordinate System. The dependent variable would be distance, and would be presented on the Y axis.
Approximately 2 ms.
It will depend on the experiment. The answer is unclear because the question was not specific enough. There are experiments where either can be the independent variable. Your question is a bit vague, but there might be a solution. The best solution would be if you had your raw data, or remembered the structure of the experiment. Were you measuring velocity at specific distances, or were you measuring distances from set velocities? The set/specific values are your independent variables, and therefore the other quantity depends upon what you measured at those set intervals. The other possibility is in the wording of the question. If it is from your teacher, it is likely that the distance is the independent variable, as older terminology for graphing that uses versus, implies (not a guarantee, see below) that the independent variable is first (versus) the dependent, or x vs. y. Since the question states distance vs. velocity it can be assumed (again, not a guarantee) that distance is the independent and velocity is the dependent. You should ask for clarification of the whole versus phrasing, as some people don't know the order, and it is confusing. For example I had a high school teacher (and many other teachers) who stressed independent vs. dependent when graphing, because x comes before y. I had a college professor who stressed dependent vs. independent as the wording, because slope is y over x. So which is it, is the question; therefore it really is a poor way of describing the graph of the data. Regardless of which word goes before the versus, the independent is graphed on the x-axis, and the dependent is graphed on the y-axis. Next time ask for clarification phrased as _________ as a function of ___________. The first blank is of course the dependent variable, and the last blank is the independent variable.
Internal validity is the degree to which the results are attributable to the independent variable and not some other explanations.External validity is the extent to which the results of a study can be generalized.
The two broad types of variables in scientific experimentation are dependent and independent variables. Independent variables are variables (ideally only one or very few) that the experimenter manipulates in the experiment. For example, if you were testing the effect of temperature on plant growth rates, you would likely have similar plants in similar conditions but in areas with different temperatures. The experimenter is changing the temperature between the groups of plants, so the temperature would be the independent variable. The dependent variables are the effects the independent variable has on the experimental subjects. They are changes not being directly controlled or manipulated by the experimenter. In the above temperature vs. plant growth example, the rate of plant growth would be the dependent variable; it depends on the temperature.
The dependent variable.