If you've been shopping for a new car recently, you've undoubtedly found that large numbers of late-model vehicles are equipped with a continuously variable automatic transmission (CVT). It's a Continuous variables are numeric variables that have an infinite number of values between any two values. A continuous variable can be numeric or date/time. For example, the length of a part or the date and time a payment is received. the number of objects in a collection). Continuous variables represent measurable amounts (e.g. water volume or weight). Continuous variables can take on any value on a number line, whereas discrete variables can take on only integers. This is important in statistics because we measure the probabilities differently for discrete and continuous distributions. The probability of each value of a discrete random variable is described through a probability distribution. 14.7.1 Continuous Variable Optimization.

Discrete if measured in a number of years, minutes, seconds. However it would be continuous if measured to an exact amount of time passed since the start of something. Age is measured in units that, if precise enough, could be any number. Therefore the set they come from is infinite.  A continuous variable is one within whose range of values any value is possible. Sometimes, it is also known as a metric variable or a quantitative variable. In practice, integer variables are often Continuous random variables describe outcomes in probabilistic situations where the possible values some quantity can take form a continuum, which is often (but not always) the entire set of real numbers R \mathbb{R} R.They are the generalization of discrete random variables to uncountably infinite sets of possible outcomes.. In epidemiology, sex,   An icon next to each variable in the Variables list identifies the variable type. Table 1. Measurement level icons. Numeric, String, Date, Time.
Rav bajs Continuous variables are numeric variables that have an infinite number of values between any two values. A continuous variable can be numeric or date/time.

As with discrete variables, the statistical analysis of continuous variables requires the application of specialized tests.
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The half of a penny cannot be valued, unless we had a half a penny coin, therefore is discrete.