The Two Types of Variations

Introduction

In statistics and probability, a random variable is a variable whose value is determined by the outcome of a random event. A variation is a measure of how much the values of a random variable can vary. There are two types of variations: continuous and discrete.

Continuous Variations

A continuous variation is a variation that can take on any value within a given range. For example, the height of a person can be any value between 0 and 8 feet. Continuous variations are often represented by a smooth curve.

Continuous variations can take on any value within a given range.
Continuous variations are often represented by a smooth curve.
Examples of continuous variations include height, weight, and temperature.

Discrete Variations

A discrete variation is a variation that can only take on a limited number of values. For example, the number of children in a family can only be 0, 1, 2, 3, and so on. Discrete variations are often represented by a histogram.

Discrete variations can only take on a limited number of values.
Discrete variations are often represented by a histogram.
Examples of discrete variations include the number of children in a family, the number of students in a class, and the number of cars in a parking lot.

Conclusion

Continuous and discrete variations are the two main types of variations. Continuous variations can take on any value within a given range, while discrete variations can only take on a limited number of values. Understanding the difference between continuous and discrete variations is important for performing statistical analysis.

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