A variable is a named storage location that can hold any data value. A variable has two associated values ; r value and l value.
An independent variable is a factor or condition that is manipulated or changed in an experiment to observe its effect on a dependent variable. It is the variable that researchers control to test its impact, while the dependent variable is measured to see how it responds to changes in the independent variable. For instance, in a study examining the effect of temperature on plant growth, temperature would be the independent variable.
archipelago-
the last section
it means charge motion variable timing intelligent this have no relation with CVT (continuous variable transmission) and continuous variable valve timing
Oligarchy.
Variable.
instantaneous velocity
The operational definition of the dependent variable in an experiment specifies how the variable will be measured or observed. It defines the specific outcome or response that is being assessed as a result of manipulating the independent variable.
the type of data which we store in a variable.. example: int a=10; /*here a is variable (data) which is of type int and stores a value 10.*/
A variable typically consists of a name, a data type, a value, and a memory location where the value is stored. The name is used to reference the variable in the code, the data type defines the type of data the variable can hold, the value is the actual data stored in the variable, and the memory location is where the value is stored in the computer's memory.
The interval of the independent variable refers to the range of values that the independent variable can take in an experiment or study. It defines the specific values or set of values used for the independent variable, which is manipulated to observe its effect on the dependent variable. Understanding this interval is crucial for ensuring accurate data collection and analysis.
The term 'independent variable' is normally used to refer to the variable that you are investigating in an experiment. A common colloquial definition is 'The variable you change' which is helpful, but not always clear. AQA (A UK examination board) defines it in the following way 'The independent variable is the variable for which the values are changed or selected by the investigator' Aims of experiments are often written in the form 'How does X affect Y?' X would be the independent variable and Y the dependent variable.
An explicit rule defines the terms of a sequence in terms of some independent parameter. A recursive rule defines them in relation to values of the variable at some earlier stage(s) in the sequence.
the level or point at which a variable physiological state tends to stabilize is called set point.
An operational definition defines something (e.g. a variable, term, or object) in terms of the specific process or set of validation tests used to determine its presence and quantity. That is, one defines something in terms of the operations that count as measuring it.
The formula, if any, depends on the probability distribution function for the variable. In the case of a discrete variable, X, this defines the probability that X = x. For a continuous variable, the probability density function is a continuous function, f(x), such that Pr(a < X < b) is the area under the function f, between a and b (or the definite integral or f, with respect to x, between a and b.
That depends a lot on what you choose to include in "non-polynomial" - it can be just about anything. If you are referring to functions, what they have in common is anything that defines a function - mainly, the fact that for every value of an independent variable, a unique value is defined for the independent variable.