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What are Confounding Variables?
In any experiment there are many kinds of variables that will effect the experiment. The independent variable is the manipulation for the experiment and the dependent variable is the measure you take from that experiment. Confounding variables are things in which have an effect on the dependent variable, but were taken into account in the experimental design. For example, you want to know if Drug X has an effect on causing sleep. The experimenter must take care to design the experiment so that he can be very sure that the subjects in the study fell asleep because of the influence of his Drug X, and that the sleepiness was not caused by other factors. Those other factors would be confounding variables.
What factors did you take into account to decide the number of wheels you chose in your design?
wieght hieght etc
How do you keep control variables constant?
Dependent upon the variables, you need to take into consideration factors that can affect the outcome of the result; what will make the result vary in any way. If this, for example, entails the variable to be kept constant time, you will monitor the time and repeat it throughout the experiment. This is my understanding of constant variables; hope this helped.
When would you need to create a line plot with fractions?
When the variables take fractional values, particularly if the domain and codomain are not very big.When the variables take fractional values, particularly if the domain and codomain are not very big.When the variables take fractional values, particularly if the domain and codomain are not very big.When the variables take fractional values, particularly if the domain and codomain are not very big.
Why is variance a poor measure of risk?
One definite drawback is that it is usually derived based on historical data and does not take into account future factors.
