Statistical Process Control
A) True
B) False
False
The change in the input value is equalto the change in the output value.
Dependent variables and independent variables refer to values that change in relationship to each other. The dependent variables are those that are observed to change in response to the independent variables. The independent variables are those that are deliberately manipulated to invoke a change in the dependent variables. In short, "if x is given, then y occurs", where x represents the independent variables and y represents the dependent variables. Depending on the context, independent variables are also known as predictor variables, regressors, controlled variables, manipulated variables, explanatory variables, or input variables. The dependent variable is also known as the response variable, the regressand, the measured variable, the responding variable, the explained variable, the outcome variable, the experimental variable or the output variable. This answer was coppied onto this page by tom hills of falmouth waii
Variables used in an experiment or modelling can be divided into three types: "dependent variable", "independent variable", or other.The "dependent variable" represents the output or effect, or is tested to see if it is the effect.The "independent variables" represent the inputs or causes, or are tested to see if they are the cause. Other variables may also be observed for various reasons.
Variables used in an experiment or modelling can be divided into three types: "dependent variable", "independent variable", or other.The "dependent variable" represents the output or effect, or is tested to see if it is the effect.The "independent variables" represent the inputs or causes, or are tested to see if they are the cause. Other variables may also be observed for various reasons.
Output variable
No, it usually is not.
If the output increases, so will the variable cost. Though, variable cost is not directly proportionate to the output, still it will witness an incline.
By providing multiple answers to the same equation using different variables..
In semi variable cost :variable cost = change in cost/change in output then with that rate * output = variable cost semi variable cost - variable cost = fixed cost
A linguistic variable is a concept in fuzzy logic that allows for the representation of qualitative terms as variables, such as "high," "medium," and "low," instead of precise numerical values. It enables the modeling of uncertainty and vagueness in a system by using linguistic terms to describe the input and output variables. Linguistic variables are essential for fuzzy logic systems to make decisions based on human-like reasoning.
because it can change according to the independent variable. this dependent variable depends on the independent variable for its output. the independent variable is not affected by the dependent variable because the independent variable if found out first.