“Bell Curve”

What is Bell Curve?

A bell curve, also known as a normal curve, is a probability distribution, which allows for comparing values in a given dataset. It is shaped like a bell and is used to illustrate the spread of values in a given dataset. Bell curves may be used to represent distributions of data that are not necessarily normally distributed.

Application of the Bell Curve in Performance Evaluations and Assessments

The bell curve is widely used by employers and businesses for evaluation purposes. This distribution model is also used to assess employee performance as it aids in comparing and analyzing the same over a period of time. It allows employers to better understand the patterns in employee performance by organizing data and assessing individual employer contribution.

FAQs

How Does the Bell Curve Model Help in Understanding Distributions of Data?

It helps to determine how evenly distributed the data in a given set is. This model graphically displays how closely data points cluster around an average. By providing a comparison between values in a given dataset, the bell curve is a helpful tool for evaluating and understanding the distribution of data.

What is the Purpose of the Bell Curve Graph?

The purpose of the bell curve graph is to illustrate the distribution of a given set of data points, which allows for easier comparison and analysis between values. This model helps to identify areas of improvement as well as areas of success, aiding employers in better understanding individual performance.

Also, See: Employee Self Service