ewan ko ........
There are no relations between different variables. If you want to enable a relationship between variables, you must write the code to implement that relationship. Encapsulating the variables within a class is the most obvious way of defining a relationship between variables.
The extent of changes between the variables throughout different conditions or circumstances.
They will have different variables, in different configurations.
There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.
coeffient
The coeffient of friction. The force holding the 2 surfaces together.
In the lab you have more control over variables
Yes, a theory can have multiple variables. In fact, theories often aim to explain complex phenomena by considering how different variables interact to produce certain outcomes. By including multiple variables, a theory can offer a more comprehensive understanding of the relationships between different factors.
Yes, if you have two limiting variables with other possibles variables between them, the variables between the limiting variables would be continuous.
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
Variables change, constants do not.
Direct or inverse relationships,that is a problem