In my humble opinion, what people mean with a statistical variable is the same as a random variable, which is explained well in wikipedia: http://en.wikipedia.org/wiki/Random_variable.
Because its the group for which the idependent variable is help constand in a statistical study.
Mean
No, it is a statistical measure of the spread of a distribution of some variable.
A dummy variable is a variable that takes on the values 1 and 0; 1 means something is true. These are used in statistical analyses.
Standard deviation of 0 can only be attained if all observations are identical. That is, the variable in question has just one possible value so statistical considerations are irrelevant.
A blocking variable is a variable that is included in a statistical analysis to account for the effects of that variable on the outcome of interest. By including a blocking variable, researchers can control for potential confounding factors and ensure that the relationship being studied is accurately captured. Blocking variables are commonly used in experimental design to improve the precision and validity of study results.
Because its the group for which the idependent variable is help constand in a statistical study.
Mean
Two way ANOVA
The multiple regression statistical method examines the relationship of one dependent variable (usually represented by 'Y') and one independent variable (represented by 'X').
They are statistical measures of the central tendency of a variable.
Statistical Process ControlA) TrueB) False
No, it does not. In fact, for many statistical analyses, it is a definite advantage.
No, it is a statistical measure of the spread of a distribution of some variable.
A dummy variable is a variable that takes on the values 1 and 0; 1 means something is true. These are used in statistical analyses.
A dependent variable that can take on an infinite or at least very large number of values, such as rate of return. In statistical analysis, a dependent variable that is grouped into two or more categories such as solvency/insolvency.
Standard deviation of 0 can only be attained if all observations are identical. That is, the variable in question has just one possible value so statistical considerations are irrelevant.