What is a variable? Give examples of discrete variables and continuous variables.

What is a variable? Give examples of discrete variables and continuous variables.

Variables are the characteristics of objects in statistical research. It can be qualitative or quantitative, and quantitative variables can be discrete or continuous. When studying the relationship between variables in social science, one variable is usually called independent variable and the other variable is called dependent variable.

Discrete variables are those whose values can only be calculated by natural numbers or integer units. For example, the number of enterprises, employees and equipment can only be counted by the number of measurement units, and the values of such variables are generally obtained by counting.

On the other hand, a variable that can take any value in a certain interval is called a continuous variable, and its value is continuous. Two adjacent values can be divided by infinity, that is, they can take infinite values. For example, the specifications and dimensions of production parts, anthropometric height, weight, chest circumference, etc. They are all continuous variables, and their values can only be obtained by measurement or measurement.

How to distinguish discrete variables from continuous variables?

Let's start with a familiar content, sequence and function. Of course, a series is also a function, but its value is a natural number, and its value is discrete, while the value of a general function is an interval, and the value in this interval can often be continuous. Discrete random variables and continuous random variables are also determined by the range (or in the form of values) of random variables. Variables can only take discrete natural numbers, that is, discrete random variables For example, if you toss 20 coins at a time, k is a random variable, and the value of k can only be 0, 1, the natural number of 2, ... 20, but not the decimal number 3. If a variable can take any real number in a certain interval, that is, the value of the variable can be continuous, then this random variable is called a continuous random variable. For example, the bus/kloc-runs every 0/5 minutes, and the waiting time of people on the platform is a random variable. The value range of x is [0, 15], which is an interval. Theoretically speaking, in this interval,

What is a continuous variable?

Variable values can be divided by infinity and can have decimals. The variable value is proportional to the length of time.

What is a continuous variable?

Variable values can be divided by infinity and can have decimals. The variable value is proportional to the length of time.

What are discrete variables and continuous variables?

As the name implies, variables are variables. It may change with time or space or other factors. Discrete variables mean that variables are discrete, one after another. For example, the number of people in a classroom can only be an integer, which may be 1, 5, 2, ... and the number of people in the classroom may be different at different times, so it is a variable. Continuous variables, such as temperature.

What is the difference between discrete variables and continuous variables in statistics?

Discrete variables are those whose values can only be calculated by natural numbers or integer units. For example, the number of enterprises, employees and equipment can only be counted by units of measurement, and the values of such variables are generally obtained through statistics.

On the other hand, a variable that can take any value in a certain interval is called a continuous variable, and its value is continuous. Two adjacent values can be divided by infinity, that is, they can take infinite values. For example, the specifications and dimensions of production parts, anthropometric height, weight, chest circumference, etc. They are all continuous variables, and their values can only be obtained by measurement or measurement.

If a variable can take any real number in a certain interval, that is, the value of the variable can be continuous, then this random variable is called a continuous random variable.

For example, the bus runs every 15 minutes, and the time x when someone is waiting for the bus on the platform is a random variable.

The value range of x is [0, 15], which is an interval. Theoretically, any real number 3.5, √20, etc. You can take this interval, so this random variable is called a continuous random variable.

What are category variables and continuous variables? I hope I can explain it and give some examples by the way.

Category variables are discrete variables. For example, the weather is variable: sunny, cloudy and rainy. It can only be one of them, and there is no one in the middle, but it can't rain or shine.

A continuous variable means that the value can be a continuous variable. Such as height, weight, etc. You can take any value in a certain interval.

What is a variable? Give examples of discrete variables and continuous variables.

The values of discrete variables are discontinuous, that is to say, only certain values can be taken, such as 3, 5, 6, 7, 8 ... Even if 7.999, 7.9999, 7.99999, 7.99999 ... are taken, they are still discrete and can only be expressed by expressions or enumerations, and cannot be simply summarized by an interval.

Continuous variables can get all the values in a certain interval. If the range is [7,8], the value can be any number within this range. Another example is a series of sinusoidal curves.