answersLogoWhite

0


Best Answer

There is no such term.

The regression (or correlation) coefficient changes as the sample size increases - towards its "true" value. There is no measure of association that is independent of sample size.

User Avatar

Wiki User

10y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: What term defined as the size of the association between two variables independent of the sample size?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

Is the set of the independent variable of the function a domain?

No, because a function can also be defined between two interdependent variables so that there is no independent variable.


How do you see that the sampling distribution of the mean is normal?

According to the Central Limit Theorem, the mean of a sufficiently large number of independent random variables which have a well defined mean and a well defined variance, is approximately normally distributed.The necessary requirements are shown in bold.According to the Central Limit Theorem, the mean of a sufficiently large number of independent random variables which have a well defined mean and a well defined variance, is approximately normally distributed.The necessary requirements are shown in bold.According to the Central Limit Theorem, the mean of a sufficiently large number of independent random variables which have a well defined mean and a well defined variance, is approximately normally distributed.The necessary requirements are shown in bold.According to the Central Limit Theorem, the mean of a sufficiently large number of independent random variables which have a well defined mean and a well defined variance, is approximately normally distributed.The necessary requirements are shown in bold.


What is the difference between state and association?

states have defined territories but associations do not


What is the answer for 3x plus 2y equals 7?

The answer is every point on the line in the Cartesian plane which is defined by the equation. You have one linear equation in two unknown variables. In order to solve for two variables you need two independent linear equations.


What is the central limit theorum?

The central limit theorem states that the mean of a sufficiently large number of iterates of independent random variables, each with well-defined mean and well-defined variance, will be approximately distributed. This is the definition in the probability theory.


What is the difference between a random variable and random process?

A random process is a sequence of random variables defined over a period of time.


Many languages distinguish between uppercase and lowecase letters in user-defined names what are the pros and cons of this design decision?

In computer programming, many languages distinguish between uppercase and lowercase letters in user defined variables. This is an advantage because it allows users to tell the difference between variables based on whether they are uppercase or not. It is a disadvantage because forgetting to change a letter to the proper case will result in an error when the program runs.


Are quiz scores discrete or continuous variables?

Quiz and exam scores are discrete variables because they are defined as one exact number.


What term is defined as concepts that are linked based on association?

network


What word is defined as a carefully controlled scientific procedure that determines whether variables manipulated by the experimenter have a casual effect on other variables in psychology?

all variables have been carefully operationalised


What is the definition of functional?

function is the relationship between independent variable & dependent variable i.e. F:R-R


What is the science definition of independent vaiable?

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.