the statistically independent random variables are uncorrelated but the converse is not true ,i want a counter example,
Examples of independent variables are:AgeRaceeducationWhy age is independent? because you can assign many variables that are dependent to age. Example: maturity, character, experience, and similar others.Race is also independent since many variables can be due to race. Example: color of the skin, language, belief, height, and similar others.But a race may also become a dependent variable if you relate it to- example the european continent. European continent now becomes the independent variable and races, beliefs, religions, and languages are dependent variables.
dependant and independent
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
The two types of variables are: independent variables and dependent variables.Independent variables are variables (ideally only one or very few per experiment) that the experimenter manipulates in the experiment. For example, if you were testing the effect of temperature on plant growth rates, you would likely have similar plants in similar conditions but in areas with different temperatures. The experimenter is changing the temperature between the groups of plants, so the temperature would be the independent variable.The dependent variables are the effects the independent variable has on the experimental subjects. They are changes not being directly controlled or manipulated by the experimenter. In the above temperature vs. plant growth example, the rate of plant growth would be the dependent variable; it depends on the temperature.
The two types of variables in an experiment are independent variables, which are controlled by the experimenter and can be manipulated, and dependent variables, which are the outcome or response that is measured in the experiment and may change in response to the independent variable.
Dependent and Independent variables
the statistically independent random variables are uncorrelated but the converse is not true ,i want a counter example,
Examples of independent variables are:AgeRaceeducationWhy age is independent? because you can assign many variables that are dependent to age. Example: maturity, character, experience, and similar others.Race is also independent since many variables can be due to race. Example: color of the skin, language, belief, height, and similar others.But a race may also become a dependent variable if you relate it to- example the european continent. European continent now becomes the independent variable and races, beliefs, religions, and languages are dependent variables.
dependant and independent
An example of an independent variable is how many people to feed. An example of a dependent variable is how many eggs.
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
a DEPENDENT variable is one of the two variables in a relationship.its value depends on the other variable witch is called the independent variable.the INDEPENDENT variable is one of the two variables in a relationship . its value determines the value of the other variable called the independent variable.
Independent and dependent are types of variables. These variables are used mostly in science and math. When using independent variables you can control them dependent variables you cannot.
Independent and dependent variables are the variables that change during the course of an experiment. An example might be an experiment on how temperature affects plant growth. Changing the temperature is the independent variable, while the level of plant growth that results is the dependent variable.
! ANOVA is generally computed for two or more QUANTITATIVE variables. If the quantitative variables are two or less in number, people prefer the t test (one sample t, paired t, or independent samples t) The Independent variable however is qualitative( for example, Girls and boys or Names of Schools.) It is the dependent variable that is Quantitative (for example, the ages - 2, 5 , 70, etc or weight or number of somethings). If you have 2 independent variables, you go for the two way ANOVA. Else, it's the one way ANOVA. !
One would be the independent variable.