A continuous variable is one that can take infinite number of values in an interval.
Examples are weight, height. A person's weight can be 150.2 lbs, 150.456 pounds and so on. Discrete variables, on the other hand can only assume a finite number of values. For example, number of people in a movie theatre.
Yes, continuous variables can be negative. For example, we generally treat temperature in as a continuous variable and temperature in the Fahrenheit or Celsius scales can have negative values. Considerably more explanation is below.Conventionally, there are three types of variables, which can go by names other than the ones I list:CategoricalDiscreteContinuousCategorical variables (which can be further sub-classified) are variables that aren't numeric in nature. So if you record the colors of a traffic light or the gender of a study subject, those are categorical in nature.Discrete variables are those that are numeric in nature, but which have a limited resolution with which we can measure them. Common examples are counts, which can only be integers, never decimals. So if you record the number of unfilled soda cans that come out of a filling machine, you are getting discrete data.Continuous variables can theoretically be measured with infinite precision. To be very technical, it's almost impossible to record continuous data because you'd have to be able to record an infinite number of decimal points, but in practice we can treat many different kinds of data as continuous. For example, US Dollars are conventionally only measured to two decimal points, but we can usually treat them as continuous. It turns out that for practical purposes, the key to treating data as continuous is to not have repeated values. Even count data, which are discrete by definition, can be treated as continuous in many circumstances. Look in a statistics reference for information about the normal approximation to the binomial distribution or the normal approximation to the Poisson distribution for more information.
Dissimilar terms on algebra are the expressions that doesn't have the same factors (variables) or powers of the factors. (exponent)Examples:4x + 5b - 2a(43)(52) - 4a + 7z
Blue Paint,Gold Frame,Smells Musty,Texture shows oils were used,Scene of boats on a river.
Yes it depends on what you are measuring in your study. some examples of variable include age, sex, marital status among others
Explanatory (or independent) variables are variables such that changes in their value are thought to cause changes in the "dependent" variables.
The difference between continuous and discrete system lies in the variables. Whereas the continuous systems have dynamic variables, the discrete system have static variables.
It is not continuous.
Yes, if you have two limiting variables with other possibles variables between them, the variables between the limiting variables would be continuous.
Not continuous => Discrete variable. Continuous => Continuous variable.
You age, your height, your mass, the speed at which you run, the energy you burn in doing so. They may be measured as discrete quantities but the underlying variables are all continuous.
Independent and Dependent Variables
Continuous variables have an unlimited number of possibilities between two points. In the scientific realm, age is a continuous variable.
the value of variables is determined by the equation, discrete variables have absolute single value while the continuos have a range value
YES.
Yes, family income is absolutely an example of a continuous variable. but zip code ,i think, is not a continuous variable
Analysis of covariance is used to test the main and interaction effects of categorical variables on a continuous dependent variable, controlling for the effects of selected other continuous variables, which co-vary with the dependent. The control variables are called the "covariates."
If the variables are something continuous, then you should connect the points. For example, if it is your height and weight then since those variables are continuous it is necessary to connect the points plotted on the coordinate graph.