

The normal distribution process lets researchers determine the proportion of the values that come under a specific number of standard deviations from the mean. In case the data is not resembling a bell curve then researchers would opt for a less powerful type of statistical test named non-parametric statistics. For running different statistical tests that are more effective and powerful, psychologists need data to be normally distributed. It is the most crucial probability distribution in statistics because different sorts of continuous data in nature and psychology show the bell-shaped curve when they are being graphed and compiled.įor instance, if you randomly sample 50 people, you would see a bell curve for different continuous variables like IQ, weight, height, and blood pressure. You can notice the bell-shaped curves as one of the common features of nature as well as psychology. Financial analysts can use it to analyze security returns, while teachers can use a bell curve to compare test scores. The bell curve has a wide application in the world of statistics. Any graph that is used for depicting a normal distribution incorporates a symmetrical bell-shaped curve from where this term bell curve gets originated. It shows that data clustered around the mean occur more frequently than data far from the mean. The bell curve, also known as Normal Distribution, refers to a type of probability distribution for a variable symmetric about the mean.

A standard deviation is a measurement that helps quantify the variability of data dispersion, and the mean, on the other hand, is the average of all data points in the data set and is found on the highest point on the bell curve. Limitations of the Bell Curve in the Practical Worldĭefinition: Bell curve is defined as a graphical depiction of a normal probability distribution whose standard deviations from the mean form a bell-shaped curve.Many Variables are Approximately Distributed Normally Importance of Bell Curve/Normal Distributions.Understanding Bell Curve/Normal Distribution Concepts.
