Why do you think that? Does Y have to be 1 if X is 0?i think that P(X=0)= f(0,1)
ParisSpart said:we have X,Y variables and their common density f(m,n)=P(X=m,Y=n) where f(0,1)=0.1 f(1,0)=0.1
and f(1,1)=0,31 find P(X=0)
i think that P(X=0)= f(0,1) but it says that its incorrect what i am doing wrong?
ParisSpart said:i must estimate f(0,0)?
ParisSpart said:i don't understand how to solve this
0.1 is a number, (0,1) are two numbers, here used for X and Y.ParisSpart said:yea but what is the diference between 0.1 and 0,1 because he gives me decimal point and not 0,1
A variable is a factor or quantity that can change or vary in a scientific experiment. It is usually represented by a letter or symbol and can have different values that affect the outcome of the experiment.
The common density of variables is determined by calculating the average of all the values of the variable. This can be done by adding up all the values and dividing by the total number of values.
An independent variable is a variable that is changed or controlled by the experimenter in order to observe its effect on the dependent variable. The dependent variable, on the other hand, is the variable that is measured or observed for changes as a result of the independent variable.
Variables can be controlled in an experiment by keeping all other factors constant except for the variable being tested. This helps to ensure that any changes in the dependent variable are caused by the independent variable and not by other factors.
Variables are important in scientific research because they allow for the testing of hypotheses and the identification of cause-and-effect relationships. They also help to make experiments more accurate and reliable by controlling for outside factors that could affect the results.