TRUE
Independent variable is what you, the experimenter, change or enacts in order to do your experiment
The question is under-specified. The variable is not defined, the event space is not defined, the experiment is not defined.
It can, but need not, affect the outcome of the experiment variable.
The answer depends on what you are trying to predict. Suppose you have a discrete random variable X with a probability density function p(X) = prob(X = x), then the expected value of a function f(X) of X is the sum of f(x)*p(x), summed over all possible values of x. For a continuous variable, the procedure is similar, except that you need to integrate rather than sum.
A dependant variable in an experiment is the portion of the experiment, or "y" variable that is subjected to change as a result of the various forms of the independent variable, or "x" variable.
A probability distribution describes the likelihood of different outcomes in a random experiment. It shows the possible values of a random variable along with the probability of each value occurring. Different probability distributions (such as uniform, normal, and binomial) are used to model various types of random events.
thas so true
Independent variable is what you, the experimenter, change or enacts in order to do your experiment
true or false : in order to get the best results from an experiment, change as many variables as possible within the experiment?
The question is under-specified. The variable is not defined, the event space is not defined, the experiment is not defined.
to gather data from data to create an controlled experiment
The variable is the thing that changes - there are literally an infinite number of possible variables so they cannot be listed. Each experiment has its own variable.
The dependent variable is the variable that can change in an experiment.
The dependent variable is the variable that can change in an experiment.
A random variable is a function that assigns unique numerical values to all possible outcomes of a random experiment. A real valued function defined on a sample space of an experiment is also called random variable.
The independent variable is the variable that is changed during an experiment.
What is a variable in a experiment